Ocean deep water quality evaluation method and device, electronic equipment and storage medium

Abstract

The invention discloses an ocean deep water quality evaluation method and device, electronic equipment and a storage medium. The method comprises the following steps: acquiring ocean deep water data through a preset ocean deep water survey station; extracting test data of the deep ocean water based on the deep ocean water data; constructing evaluation indexes of multiple evaluation aspects of the deep ocean water based on the basic characters of the deep ocean water resources; substituting the test data into the evaluation index to obtain the index score of the single index of each characteristic of the deep ocean water; and in response to the target purpose of the deep ocean water, obtaining a water quality evaluation result based on the index score of the at least one single index. According to the method, comprehensive evaluation can be carried out by selectively combining the scores of the related single indexes according to the specific target purpose of the deep ocean water, so that the evaluation result highly conforms to the actual application requirement, and the water quality evaluation of the deep ocean water can be accurately carried out.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and particularly relates to a method, device, electronic device and storage medium for evaluating the water quality of deep ocean water. Background Art

[0002] Broadly speaking, deep ocean water (Deep sea water, DSW or Deep ocean water, DOW) generally refers to the seawater at a depth of more than 200 meters below the sea level. Since scholars systematically expounded its properties and broad application prospects in the 1970s of the last century, after years of development, it has gradually become an emerging ocean resource that has been recognized and commercially developed and utilized. At present, deep ocean water is widely used in various fields such as ocean thermal energy conversion power generation, fishery, food industry, medical and health care, and biomedicine, achieving good application effects, creating huge economic benefits, and realizing the high-value comprehensive utilization of seawater resources. However, there is currently no perfect method for investigating and evaluating the water quality of deep ocean water, which restricts the understanding of the water quality of deep ocean water. Summary of the Invention

[0003] The present invention aims to solve the problems of related technical limitations to at least a certain extent. For this purpose, the present invention provides a method, device, electronic device and storage medium for evaluating the water quality of deep ocean water, which can accurately evaluate the water quality of deep ocean water.

[0004] On the one hand, an embodiment of the present invention provides a method for evaluating the water quality of deep ocean water, including the following steps: Obtain deep ocean water data through preset deep ocean water survey stations; Extract test data of deep ocean water based on the deep ocean water data; Construct evaluation indicators for multiple evaluation aspects of deep ocean water based on the basic properties of deep ocean water resources; Substitute the test data into the evaluation indicators to obtain the index scores of the single indicators of the various characteristics of deep ocean water; In response to the target use of deep ocean water, obtain the water quality evaluation result based on the index scores of at least one single indicator.

[0005] Optionally, the method further includes the following steps: Determine the station spacing corresponding to each survey stage based on the corresponding relationship between each survey stage of deep ocean water and the survey scale; Among them, the deep ocean water survey stations at each survey stage are arranged by the grid method based on the station spacing corresponding to the respective survey stage.

[0006] Optionally, the deep ocean water data includes in-situ measurement data and sample collection data; obtaining the deep ocean water data includes the following steps: Obtain in-situ measurement data at different depths; among them, the in-situ measurement data includes seawater temperature and salinity data; Use a CTD (Conductivity, Temperature, Depth) instrument to conduct stratified sampling of seawater to obtain sample collection data at different survey levels; Among them, when the seawater depth is in the first water depth interval, the survey levels are set based on the first standard level interval; when the seawater depth is in the second water depth interval, the survey levels are set based on the second standard level interval.

[0007] Optionally, construct evaluation indicators for multiple evaluation aspects of deep ocean water based on the basic properties of deep ocean water resources, including the following steps: Based on the survey data of seawater physics, chemistry, and microorganisms, quantitatively or qualitatively evaluate the basic properties of deep ocean water resources, and then divide to obtain evaluation indicators for multiple evaluation aspects; Among them, the evaluation aspects include sensory and general properties, trace elements, nutrients, heavy metal elements, inorganic pollutants, organic pollutants, radioactivity, microorganisms, and molecular clusters.

[0008] Optionally, the evaluation aspects include sensory and general properties, trace elements, nutrients, heavy metal elements, inorganic pollutants, organic pollutants, radioactivity, microorganisms, and molecular clusters, and the single indicators include low temperature property, cleanliness, nutritive property, and small molecular cluster property; substitute the test data into the evaluation indicators to obtain the index scores of the single indicators of the properties of deep ocean water, including the following steps: Substitute the test data into the evaluation indicators to obtain the parameter values of the evaluation indicators corresponding to each evaluation aspect; Among them, the evaluation indicators of sensory and general properties include temperature; Based on the temperature range in which the parameter value of temperature in sensory and general properties is located, map and determine the index score of low temperature property; Based on the parameter values of the evaluation indicators corresponding to sensory and general properties, heavy metal elements, inorganic pollutants, organic pollutants, radioactivity, and microorganisms, combine with a preset first reference limit to determine the index score of cleanliness; Based on the parameter values of the evaluation indicators corresponding to nutrients and trace elements, combine with a preset second reference limit to determine the index score of nutritive property; Based on the Hertz value range in which the parameter value of the evaluation indicator corresponding to the molecular cluster is located, map and determine the index score of small molecular cluster property.

[0009] Optionally, the target uses include single-item evaluation requests and application field evaluation requests. In response to the target use of deep ocean water, obtain a water quality evaluation result based on the index scores of at least one single indicator, including the following steps: In response to a single-item evaluation request, directly output the water quality evaluation result according to the index score of the corresponding single index; In response to an application field evaluation request, perform a combined evaluation based on the index scores of multiple single indexes corresponding to the target application field to obtain the water quality evaluation result.

[0010] Optionally, performing a combined evaluation based on the index scores of multiple single indexes corresponding to the target application field to obtain the water quality evaluation result includes the following steps: Based on the index scores of multiple single indexes corresponding to the target application field, use the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the entropy weight method to conduct a multi-index comprehensive evaluation to obtain the water quality evaluation result.

[0011] On the other hand, an embodiment of the present invention provides a deep ocean water quality evaluation device, including: A first module for obtaining deep ocean water data through preset deep ocean water survey stations; A second module for extracting test data of deep ocean water based on the deep ocean water data; A third module for constructing evaluation indexes for multiple evaluation aspects of deep ocean water based on the basic characteristics of deep ocean water resources; A fourth module for substituting the test data into the evaluation indexes to obtain the index scores of single indexes of various characteristics of deep ocean water; A fifth module for, in response to the target use of deep ocean water, obtaining the water quality evaluation result based on the index scores of at least one single index.

[0012] Optionally, the device further includes: A sixth module for determining the station spacing corresponding to each survey stage based on the corresponding relationship between each survey stage of deep ocean water and the survey scale; Among them, the deep ocean water survey stations in each survey stage are arranged by the grid method based on the station spacing in the corresponding survey stage.

[0013] On the other hand, an embodiment of the present invention provides an electronic device, including: a processor and a memory; the memory is used to store a program; the processor executes the program to implement the above-mentioned deep ocean water quality evaluation method.

[0014] On the other hand, an embodiment of the present invention provides a computer storage medium, in which a program executable by a processor is stored, and the program executable by the processor is used to implement the above-mentioned deep ocean water quality evaluation method when executed by the processor.

[0015] In the embodiments of the present invention, deep - sea water data is obtained through preset deep - sea water survey stations; test data of deep - sea water is extracted based on the deep - sea water data; evaluation indexes for multiple evaluation aspects of deep - sea water are constructed based on the basic properties of deep - sea water resources; the test data is substituted into the evaluation indexes to obtain the index scores of single indexes for various characteristics of deep - sea water; in response to the target use of deep - sea water, a water quality evaluation result is obtained based on the index scores of at least one single index. The present invention can selectively combine the scores of relevant single indexes for comprehensive evaluation according to the specific target use of deep - sea water (such as drinking water, cosmetics, aquaculture, medical treatment, etc.), making the evaluation result highly consistent with the actual application requirements and avoiding the "one - size - fits - all" evaluation standard; a multi - dimensional evaluation index system is systematically constructed based on the basic properties of deep - sea water resources, and the measured data is substituted into the calculation, realizing the standardization, quantification, and objectification of the evaluation process and significantly reducing the interference of subjective factors. Specifically, through the process design from obtaining data through preset stations, extracting test data, constructing indexes, calculating single scores to the final comprehensive evaluation, the evaluation accuracy and credibility are significantly improved. The present invention can accurately evaluate the water quality of deep - sea water. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The drawings are used to provide a further understanding of the technical solutions of the present invention, and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention, and do not constitute a limitation to the technical solutions of the present invention.

[0017] Figure 1 It is a schematic diagram of an implementation environment for a method of evaluating the water quality of deep - sea water provided by an embodiment of the present invention; Figure 2 It is a schematic flowchart of a method for evaluating the water quality of deep - sea water provided by an embodiment of the present invention; Figure 3 It is an extended flowchart of a method for evaluating the water quality of deep - sea water provided by an embodiment of the present invention; Figure 4 It is an expanded flowchart of obtaining deep - sea water data provided by an embodiment of the present invention; Figure 5 It is an expanded flowchart of step S400 provided by an embodiment of the present invention; Figure 6 It is an expanded flowchart of step S500 provided by an embodiment of the present invention; Figure 7 It is an overall flowchart of a method for evaluating the water quality of deep - sea water provided by an embodiment of the present invention; Figure 8 It is a schematic diagram of the process principle of a method for evaluating the water quality of deep - sea water provided by an embodiment of the present invention; Figure 9Schematic diagram of the structure of a deep - sea water quality evaluation device provided by an embodiment of the present invention; Figure 10 Schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. Detailed implementation manners

[0018] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0019] It should be noted that although the functional modules are divided in the system schematic diagram and the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order from the module division in the system or the order in the flowchart. Terms such as "first / S100", "second / S200", etc. in the description and claims and the above - mentioned drawings are used to distinguish similar objects, and do not necessarily have to be used to describe a specific order or sequence.

[0020] When "embodiment" is mentioned in the present invention, it means that the specific features, structures or characteristics described in combination with the embodiment can be included in at least one embodiment of the present invention. The appearance of this phrase in various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described in the present invention can be combined with other embodiments.

[0021] It can be understood that the deep - sea water quality evaluation method provided by the embodiment of the present invention can be applied to any computer device with data - processing and computing capabilities, and this computer device can be various types of terminals or servers. When the computer device in the embodiment is a server, the server is an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms. Optionally, the terminal is a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto.

[0022] For the convenience of understanding the technical solutions of the present invention, first, the technical feature proper nouns that may appear in the embodiments of the present invention will be explained: As Figure 1 shown, it is a schematic diagram of an implementation environment provided by an embodiment of the present invention. Refer toFigure 1 , the implementation environment includes at least one terminal 102 and a server 101. The terminal 102 and the server 101 can be network-connected by wireless or wired means to complete data transmission and exchange.

[0023] The server 101 can be an independent physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, CDN (Content Delivery Network), and big data and artificial intelligence platforms.

[0024] In addition, the server 101 can also be a node server in a blockchain network. Among them, the blockchain is a new application mode of computer technologies such as distributed data storage, peer-to-peer transmission, consensus mechanism, and encryption algorithms.

[0025] The terminal 102 can be a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc., but is not limited thereto. The terminal 102 and the server 101 can be directly or indirectly connected through wired or wireless communication methods, and the embodiments of the present invention do not limit this here.

[0026] Exemplarily based on Figure 1 the shown implementation environment, the embodiments of the present invention provide a method for evaluating the water quality of deep ocean water. Taking the application of this method for evaluating the water quality of deep ocean water in the server 101 as an example, it can be understood that this method for evaluating the water quality of deep ocean water can also be applied to the terminal 102.

[0027] Referring to Figure 2 , Figure 2 is a flowchart of the method for evaluating the water quality of deep ocean water applied to the server provided by the embodiments of the present invention. The execution subject of this method for evaluating the water quality of deep ocean water can be any of the foregoing computer devices (including the server or the terminal). Referring to Figure 2 , this method includes the following steps: S100. Obtain deep ocean water data through preset deep ocean water survey stations; Among them, in some embodiments, as Figure 3 shown, the method can also include the following steps: T100. Determine the station spacing corresponding to each survey stage based on the correspondence between each survey stage of deep ocean water and the survey scale; among them, the deep ocean water survey stations in each survey stage are arranged by the grid method based on the corresponding station spacing of the corresponding survey stage.

[0028] Exemplarily, in some specific embodiments, the deployment of deep ocean water investigation stations. Select a sea area with a depth greater than 200 meters, and deploy stations at corresponding intervals according to the investigation level. Generally, the grid method is used for deployment. The investigation stages are divided into: general survey, detailed survey, and exploration, corresponding to different scales and station intervals for work. a) In the general survey stage, a resource prospective area is proposed; b) In the detailed survey stage, a resource preferred area is proposed; c) In the exploration stage, an engineering alternative area is proposed. In areas with special local seabed topography, such as reef areas, the water depth change situation is complex, different from conventional terrain areas, and can be densified according to requirements. Specifically, the corresponding relationship between the deep ocean water investigation scale and the deployed station interval can be set as shown in Table 1.

[0029] Table 1

[0030] It should be noted that deep ocean water data includes in-situ measurement data and sample collection data; in some embodiments, as Figure 4 shown, to obtain deep ocean water data, the following steps can be included: S101. Obtain in-situ measurement data at different depths; among them, the in-situ measurement data includes seawater temperature and salinity data; S102. Use a CTD to conduct stratified sampling of seawater to obtain sample collection data at different investigation levels; among them, when the seawater depth is in the first water depth interval, the investigation levels are set based on the first standard level interval; when the seawater depth is in the second water depth interval, the investigation levels are set based on the second standard level interval.

[0031] Exemplarily, in some specific embodiments, in-situ measurement and sample collection are carried out using a CTD (Conductivity Temperature Depth), and in-situ measurement is used to obtain seawater temperature and salinity data at different depths. Sampling measurement is carried out using a CTD sampler for stratified sampling of seawater. Specifically, samples are taken every 100 meters within 1000 meters, and one sample is taken every 500 meters for depths greater than 1000 meters. The setting of the investigation levels can be shown in Table 2. The surface layer data is used as a comparison parameter. On the one hand, according to the investigation results, it shows that the physical and chemical properties of the ocean water within 1000 meters change significantly, and below 1000 meters, the change trends of many parameters become smaller, such as temperature, salinity, microorganisms, and most elements. On the other hand, for the economic efficiency of development and utilization, the depth of deep ocean water currently exploited industrially generally ranges between 200 - 1000 meters.

[0032] Table 2

[0033] Among them, in Table 2: the surface layer refers to the depth range of 0.1m - 5m starting from the beginning of the corresponding water depth interval, and the bottom layer is the corresponding depth at the end of the water depth interval.

[0034] S200. Extract test data of deep ocean water based on the deep ocean water data obtained. Exemplarily, in some specific embodiments, the extraction of test data can be achieved based on the deep ocean water data through a pre-set or programmed automated experimental device. Specifically, the test parameters (i.e., test data) of deep ocean water include on-site test parameters at sea and laboratory test parameters indoors. The on-site seawater tests include nutrient salts and pH parameters. Other tests that cannot be completed on seawater can be transferred to the laboratory for testing, such as chemical elements, microorganisms, pollutants, radioactivity, etc.

[0035] S300. Construct evaluation indicators for multiple evaluation aspects of deep ocean water based on the basic properties of deep ocean water resources. It should be noted that in some embodiments, step S300 may include the following steps: quantitatively or qualitatively evaluate the basic properties of deep ocean water resources based on the survey data of seawater physics, chemistry, and microorganisms, and then divide to obtain evaluation indicators for multiple evaluation aspects. Among them, the evaluation aspects include sensory and general properties, trace elements, nutrient salts, heavy metal elements, inorganic pollutants, organic pollutants, radioactivity, microorganisms, and molecular clusters.

[0036] Exemplarily, in some specific embodiments, the evaluation indicators of deep ocean water quantitatively or qualitatively evaluate the basic properties of deep ocean water resources based on the survey data of seawater physics, chemistry, and microorganisms. The embodiments of the present invention summarize nine types of indicators for deep ocean water: (1) sensory and general properties; (2) trace elements; (3) nutrient salts; (4) heavy metal elements; (5) inorganic pollutants; (6) organic pollutants; (7) radioactivity; (8) microorganisms; (9) molecular clusters.

[0037] S400. Substitute the test data into the evaluation indicators to obtain the indicator scores of the individual indicators of the various characteristics of deep ocean water. It should be noted that the evaluation aspects include sensory and general properties, trace elements, nutrient salts, heavy metal elements, inorganic pollutants, organic pollutants, radioactivity, microorganisms, and molecular clusters, and the individual indicators include low temperature property, cleanliness, nutritional property, and small molecular cluster property. In some embodiments, such as Figure 5As shown, step S400 may include the following steps: S401. Substitute the test data into the evaluation indicators to obtain the parameter values of the evaluation indicators corresponding to each evaluation aspect. Among them, the evaluation indicators of sensory and general properties include temperature. S402. Based on the temperature range in which the parameter value of temperature in sensory and general properties is located, map and determine the index score of low temperature resistance. S403. Based on the parameter values of the evaluation indicators corresponding to sensory and general properties, heavy metal elements, inorganic pollutants, organic pollutants, radioactivity, and microorganisms, combine with the preset first reference limit to determine the index score of cleanliness. S404. Based on the parameter values of the evaluation indicators corresponding to nutrient salts and trace elements, combine with the preset second reference limit to determine the index score of nutrition. S405. Based on the Hertz value range in which the parameter value of the evaluation indicator corresponding to the molecular cluster is located, map and determine the index score of small molecular cluster property.

[0038] It should be understood that the first reference limit and the second reference limit are not limitations on the reference limit of a specific evaluation indicator. When a single indicator corresponds to multiple evaluation indicators, it includes the reference limits of all evaluation indicators in this single indicator.

[0039] Exemplarily, in some specific embodiments, the deep ocean water has significantly different characteristics from the surface sea water. Since the occurrence depth is greater than 200 meters, sunlight cannot reach it, there is no photosynthesis, nutrient salts are preserved, it is hardly affected by human activities, and it is in a high-pressure state for a long time. The deep ocean water has low temperature resistance, rich inorganic nutrient salts, and abundant and very stable trace elements, is almost clean and sterile, and is in the form of small molecular water clusters. At the same time, in deep ocean water, mineral elements are in ionic state, and their composition and ratio are similar to those of human blood, amniotic fluid, and body fluids, and are extremely easy to be absorbed by the human body, having extremely high advantages in mineral extraction, processing, and application.

[0040] Specifically, according to the four major characteristics of deep ocean water: low temperature, cleanliness, nutrition, and small molecular clusters, the present invention proposes corresponding evaluation indicators for each characteristic, where the one marked with a is an optional evaluation indicator (not necessarily a test indicator). The indicators and reference limits are comprehensively set based on the current Chinese "Seawater Quality Standard" (GB 3097-1997) and the Chinese drinking water standard GB5749-2022, as shown in Table 3. Meeting the reference limits for all indicators indicates excellent performance for that individual indicator. If any evaluation indicator exceeds the limit, it does not meet that individual indicator. In some embodiments, the simplest rule for setting indicator scores can be set as follows: if an individual indicator is met, the corresponding indicator score is set to 100; otherwise, the corresponding indicator score is set to 0. Further, multiple numerical intervals can be divided based on the reference limits, and the scores for the corresponding evaluation indicators are determined according to different numerical intervals in combination with a preset mapping rule (for example, when the conditions of the reference limits are met, the greater the difference between the parameter value of the evaluation indicator and the reference limit, the higher the score; conversely, when the reference limits are not met, the greater the difference between the parameter value of the evaluation indicator and the reference limit, the lower the score). Then, the scores of all evaluation indicators for an individual indicator are weighted and summed to obtain the final indicator score.

[0041] Table 3

[0042] Specifically, the definitions of each individual indicator in the embodiments of the present invention are as follows: (1) Low temperature: Seawater with a temperature lower than 18 °C is seawater with low-temperature characteristics. The low-temperature characteristics are mainly applied in the fields of ocean thermal energy conversion, aquaculture, agricultural cultivation, and industrial cooling. Existing ocean thermal energy conversion technologies require a temperature difference of about 20 °C to generate electricity. Taking the South China Sea as an example, based on the average surface seawater temperature of 27 °C measured in summer, seawater at 7 °C can be used to achieve ocean thermal energy conversion. When evaluating, ocean deep water with a temperature higher than 7 °C is not suitable for ocean thermal energy conversion applications. The temperature requirements in other fields vary. For example, the optimal temperature for cold-water fish is 12-18 °C. When evaluating, ocean deep water with a temperature higher than 18 °C is not suitable for cold-water fish farming applications, but can be used for non-cold-water fish farming.

[0043] (2) Cleanliness: Seven aspects of indicators are selected for cleanliness evaluation: 1) Sensory and general properties; 2) Heavy metal elements; 3) Inorganic pollutants; 4) Organic pollutants; 5) Radioactivity; 6) Microorganisms. The limit values of each indicator are shown in Table 3. The cleanliness evaluation has the most indicators and covers the widest range of application fields. For applications related to humans and aquaculture, the water body cleanliness needs to be fully evaluated. The evaluation limit values refer to the Chinese national standard for drinking water quality GB5749-2022. If any indicator exceeds the limit value, it does not meet the single indicator.

[0044] (3) Nutritional property: The nutritional property is based on the content indicators of nutrients and trace elements. The limit values are shown in Table 3 for details. Nutrients are mainly applied in the aquaculture field. The richer and higher quality the nutrients are, the better. In 1973, the World Health Organization announced that there are fourteen trace elements that are beneficial to the human body and must be ingested, including: iron, copper, zinc, manganese, chromium, cobalt, vanadium, tin, nickel, molybdenum, iodine, fluorine, selenium, and silicon. The nutritional property is judged by the number of trace element types. More than 5 types meet the eutrophic level, and the more types there are, the higher the nutritional property. Since excessive intake of some trace elements may be harmful to the human body, the limit values for food and desalinated drinking water fields refer to the Chinese national standard for drinking water quality GB5749-2022. Boron is an essential trace element for plants.

[0045] (4) Small water cluster property: Taking the Hertz value measured in the laboratory when extracting deep ocean water to the sea surface as the indicator, the limit values are shown in Table 3 for details. Generally, ordinary water is composed of more than 10 water molecules to form a water molecule cluster, called large water cluster water. Water with less than 10 molecule clusters is regarded as small water cluster water, and water formed by the combination of 5-6 water molecules is high-quality small water. Small water cluster water is high-quality water with high permeability, high diffusivity, and high solubility. Currently, it is mainly applied in the fields of medical health and cosmetics. It is difficult to directly detect water molecule clusters by conventional means. Currently, the generally recognized method for detecting the size of water molecule clusters is to use nuclear magnetic resonance NMR technology to measure the size of water molecule clusters by measuring the half-width of the vibration frequency of water (expressed in Hertz Hz). The larger the Hz value, the larger the water molecule cluster, and the smaller the Hz value, the smaller the water molecule cluster (the corresponding indicator scores can be associated and mapped with the size of the water molecule cluster). An example of the comparison between the size of water molecule clusters in common water samples and Hertz is shown in Table 4.

[0046] Table 4

[0047] S500. In response to the target use of deep ocean water, obtain the water quality evaluation result based on the indicator scores of at least one single indicator; It should be noted that the target use includes a single evaluation request and an application field evaluation request. In some embodiments, such as Figure 6As shown, step S500 may include the following steps: S501, in response to a single-item evaluation request, directly output a water quality evaluation result according to the index score of the corresponding single index; S502, in response to an application field evaluation request, perform a combined evaluation based on the index scores of multiple single indices corresponding to the target application field to obtain a water quality evaluation result.

[0048] Exemplarily, in some specific embodiments, for the evaluation of seawater quality according to different uses, single-item evaluation or multi-item combined evaluation can be performed.

[0049] Among them, in some embodiments, step S502 may include the following steps: based on the index scores of multiple single indices corresponding to the target application field, use the Technique for Order Preference by Similarity to Ideal Solution (Topsis method) and the entropy weight method to perform multi-index comprehensive evaluation to obtain a water quality evaluation result.

[0050] Exemplarily, in some specific embodiments, the present invention uses the Topsis method (Technique for Order Preference by Similarity to Ideal Solution, which can be translated as the Technique for Order Preference by Similarity to Ideal Solution or simply referred to as the method of distance between superior and inferior solutions) combined with the entropy weight method to provide more objective results in multi-index comprehensive evaluation. During comprehensive evaluation, based on the use, first, select the correct indices, and second, determine the weights. Table 5 is the index weight distribution table for different fields.

[0051] Table 5

[0052] To explain the principle of the technical solution of the present invention in detail, the overall process of the present invention will be described below in conjunction with some specific embodiments. It is easy to understand that the following is an explanation of the technical principle of the present invention and should not be regarded as a limitation of the present invention.

[0053] First of all, it should be noted that the current seawater quality standard classifies seawater quality into four categories: The first category is applicable to marine fishery waters, offshore nature reserves and rare and endangered marine biological reserves. The second category is applicable to aquaculture areas, seawater bathing beaches, offshore sports or entertainment areas where humans directly contact seawater, and industrial water areas directly related to human consumption. The third category is applicable to general industrial water areas and coastal scenic tourism areas. The fourth category is applicable to marine port waters and marine development operation areas. This method is currently widely used in surface seawater, and the main application fields are aquaculture and industry. However, the application fields of deep seawater are extensive, including eight fields such as ocean thermal energy conversion power generation, deep seawater desalination, medical and health industries, fishery aquaculture, agricultural planting, food industry, industrial cooling, industrial parks and tourism. The current seawater quality assessment cannot further meet the requirements of the diversified application of deep seawater. Therefore, while meeting the above water quality conditions, in order to meet the water quality assessment for the diversified utilization of deep seawater, the embodiments of the present invention are based on the investigation and assessment results of deep seawater at multiple stations, and have formed a set of water quality assessment methods for evaluating the excellent properties and diversified field applications of deep seawater. This method makes up for the singularity and limitation of the current seawater quality assessment.

[0054] As Figure 7 and Figure 8 shown, the deep seawater quality assessment method provided by the present invention can achieve the following: The first step: Layout of deep seawater investigation stations. Select a sea area with a depth greater than 200 meters, and deploy stations at corresponding intervals according to the investigation intensity. Generally, the grid method is used for layout. The investigation stage is divided into three stages: general survey, detailed survey and exploration, corresponding to different scales and station intervals for work. a) In the general survey stage, a resource prospective area is proposed; b) In the detailed survey stage, a resource optimization area is proposed; c) In the exploration stage, an engineering alternative area is proposed. In special areas with special local seabed topography, such as reef areas, the water depth change situation is complex, different from the conventional terrain area, and it can be encrypted according to needs. Specifically, the corresponding relationship between the deep seawater investigation scale and the station interval can be set as shown in Table 1 above.

[0055] Step 2: In-situ measurement and sample collection of deep ocean water. For in-situ measurement and sample collection, a Conductivity-Temperature-Depth (CTD) instrument is used. In-situ measurement is used to obtain data on seawater temperature and salinity at different depths. Sampling measurement is carried out using a CTD sampler for stratified sampling of seawater. Specifically, samples are taken every 100 meters within 1000 meters, and one sample is taken every 500 meters for depths greater than 1000 meters. The survey layer settings can be set as shown in Table 2 mentioned above. Surface data is used as a comparison parameter. On the one hand, according to the survey results, the physical and chemical properties of the ocean water within 1000 meters change significantly. Below 1000 meters, the changing trends of many parameters, such as temperature, salinity, microorganisms, and most elements, become smaller. On the other hand, for the economic efficiency of development and utilization, the depth of deep ocean water currently exploited industrially generally ranges between 200 - 1000 meters.

[0056] Step 3: Test parameters of deep ocean water. It includes on-site test parameters at sea and laboratory test parameters. On-site seawater tests include nutrient salts and pH parameters. Other tests that cannot be completed on seawater are transferred to the laboratory for testing, such as chemical elements, microorganisms, pollutants, radioactivity, etc.

[0057] Step 4: Evaluation indicators of deep ocean water. Based on the survey data of seawater physics, chemistry, and microorganisms, the basic characteristics of deep ocean water resources are quantitatively or qualitatively evaluated. The present invention summarizes nine categories of indicators for deep ocean water: (1) sensory and general properties; (2) trace elements; (3) nutrient salts; (4) heavy metal elements; (5) inorganic pollutants; (6) organic pollutants; (7) radioactivity; (8) microorganisms; (9) molecular clusters.

[0058] Step 5: Single-item evaluation. According to the four major characteristics of deep ocean water: low temperature, cleanliness, nutrition, and small molecular cluster property, the present invention proposes corresponding evaluation indicators for each characteristic. Among them, those marked with a are optional evaluation indicators (not necessarily test indicators). The indicators and limits comprehensively consider the current Chinese "Seawater Quality Standard" (GB 3097 - 1997) and the Chinese Drinking Water Quality Standard GB5749 - 2022, as shown in Table 3 mentioned above. Meeting the limits of the indicators indicates excellent performance of the single indicator. If any indicator exceeds the limit, it does not meet the single indicator.

[0059] (1) Low temperature property: Seawater with a temperature below 18 °C is seawater with low temperature characteristics. The low temperature characteristics are mainly applied in the fields of ocean thermal energy conversion, aquaculture, agricultural cultivation, and industrial cooling. Existing ocean thermal energy conversion technologies require a temperature difference of about 20 °C to generate electricity. Taking the South China Sea as an example, calculated based on the average surface seawater temperature of 27 °C measured in summer, seawater at 7 °C can achieve ocean thermal energy conversion. When evaluating, the deep ocean water with a temperature higher than 7 °C is not applicable to ocean thermal energy conversion applications. The water temperature requirements in other fields vary. For example, the optimal temperature for cold-water fish is 12 - 18 °C. When evaluating, the deep ocean water with a temperature higher than 18 °C is not applicable to cold-water fish farming, but can be used for non-cold-water fish farming.

[0060] (2) Cleanliness: Seven indicators are selected for cleanliness evaluation: 1) Sensory and general properties; 2) Heavy metal elements; 3) Inorganic pollutants; 4) Organic pollutants; 5) Radioactivity; 6) Microorganisms. The limit values of each indicator are shown in Table 3. The cleanliness evaluation has the most indicators and covers the widest range of application fields. For applications related to the human body and aquaculture, the water body cleanliness needs to be fully evaluated. The evaluation limit values refer to the Chinese national standard for drinking water quality GB5749 - 2022. If any indicator exceeds the limit value, it does not meet the single indicator.

[0061] (3) Nutritional value: The nutritional value is based on the content indicators of nutrients and trace elements. The limit values are shown in Table 3 mentioned above. Nutrients are mainly applied in the aquaculture field. The richer and higher quality the nutrients are, the better. In 1973, the World Health Organization announced that there are fourteen trace elements that are beneficial to the human body and must be ingested, including: iron, copper, zinc, manganese, chromium, cobalt, vanadium, tin, nickel, molybdenum, iodine, fluorine, selenium, and silicon. The nutritional value is judged by the number of trace element types. More than 5 types meet the eutrophic level, and the more types there are, the higher the nutritional value. Since excessive intake of some trace elements may be harmful to the human body, the limit values for food and desalinated drinking water applications refer to the Chinese national standard for drinking water quality GB5749 - 2022. Boron is an essential trace element for plants.

[0062] (4) Small molecular cluster property: The Hertz value of deep-ocean water extracted to the surface and tested in a laboratory is used as an indicator. The limits are detailed in Table 3. Generally speaking, ordinary water consists of clusters of 10 or more water molecules, known as large-cluster water. Water with clusters of less than 10 molecules is considered small-cluster water, while water composed of 5-6 molecules is considered high-quality small-cluster water. Small-cluster water offers high permeability, diffusion capacity, and solubility, and is currently primarily used in healthcare and cosmetics. Water clusters are difficult to directly measure using conventional methods. The currently recognized method for determining water cluster size is nuclear magnetic resonance (NMR), which measures the half-width (FWHM) of the water's vibration frequency (expressed in Hertz). A larger Hz value indicates a larger water cluster, while a smaller Hz value indicates a smaller cluster. A comparison table of water cluster size and Hertz is shown in Table 4.

[0063] Step 6: Evaluate seawater quality based on different applications, either individually or in combination. This method uses the Topsis method (Technique for Order Preference by Similarity to Ideal Solution, also known as the distance between superior and inferior solutions) combined with the entropy weighting method to provide more objective results in a comprehensive multi-indicator evaluation. This comprehensive evaluation, based on application, involves two key considerations: selecting the appropriate indicators and determining their weights. The weightings for indicators in different areas are detailed in Table 5.

[0064] In summary, the existing method divides seawater into four categories, which are widely used in the evaluation of surface seawater, and are applicable mainly to aquaculture and industry. Deep ocean water, however, is less polluted because it is below 200 meters deep in the ocean, and is generally a type of high-quality water. With the development and utilization of deep ocean water in the world becoming more and more extensive, the current seawater quality evaluation cannot further meet the diversified application requirements of deep ocean water. In view of this, the present invention conducts sub-item evaluation based on the various advantages of deep ocean water, and can also conduct multiple evaluations according to different application fields. The present invention makes up for the singleness and limitations of the current seawater quality evaluation, and is more suitable for the diversified utilization evaluation of deep ocean water development and utilization.

[0065] On the other hand, Figure 9 As shown, an embodiment of the present invention provides a deep ocean water quality assessment device 900, which may include: The first module 901 is used to obtain deep ocean water data through a preset deep ocean water survey station; The second module 902 is used to obtain deep ocean water test data based on deep ocean water data extraction; The third module 903 is used to construct evaluation indicators for multiple evaluation aspects of deep ocean water based on the basic properties of deep ocean water resources; A fourth module 904 is configured to substitute test data into evaluation indexes to obtain index scores of individual indexes of various characteristics of deep ocean water. A fifth module 905 is configured to obtain a water quality evaluation result based on the index scores of at least one individual index in response to the target use of deep ocean water.

[0066] In some embodiments, the apparatus may further include: A sixth module is configured to determine the station spacing corresponding to each investigation stage based on the correspondence between each investigation stage of deep ocean water and the investigation scale. Among them, the investigation stations of deep ocean water at each investigation stage are arranged by the grid method based on the station spacing corresponding to the corresponding investigation stage.

[0067] The content of the method embodiments of the present invention is applicable to the apparatus embodiments of the present invention. The functions specifically implemented by the apparatus embodiments of the present invention are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above methods.

[0068] On the other hand, an embodiment of the present invention further provides an electronic device, which includes a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the above-mentioned deep ocean water quality evaluation method is implemented. The electronic device may be any intelligent terminal including a tablet computer, an in-vehicle computer, etc.

[0069] It can be understood that the content in the above method embodiments is applicable to the device embodiments of the present invention. The functions specifically implemented by the device embodiments of the present invention are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those achieved by the above method embodiments.

[0070] As Figure 10 shown, Figure 10 FIG. schematically shows the hardware structure of an electronic device 1000 according to another embodiment. The electronic device 1000 includes: A processor 1001, which may be implemented in a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is configured to execute relevant programs to implement the technical solutions provided by the embodiments of the present invention; The memory 1002 can be implemented in the form of a read-only memory (ROM), a static storage device, a dynamic storage device, or a random access memory (RAM), etc. The memory 1002 can store an operating system and other application programs. When implementing the technical solutions provided in the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 1002 and are called by the processor 1001 to execute the network node population optimization method of the embodiments of the present invention; The input / output interface 1003 is used to implement information input and output; The communication interface 1004 is used to implement communication interaction between this device and other devices. Communication can be achieved through wired means (such as USB, network cable, etc.) or through wireless means (such as mobile network, WIFI, Bluetooth, etc.); The bus 1005 transmits information between the various components of the device (such as the processor 1001, the memory 1002, the input / output interface 1003, and the communication interface 1004); Among them, the processor 1001, the memory 1002, the input / output interface 1003, and the communication interface 1004 are communicatively connected to each other inside the device through the bus 1005.

[0071] The electronic device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solutions of this embodiment.

[0072] The content of the method embodiments of the present invention is applicable to the electronic device embodiments of the present invention. The functions specifically implemented by the electronic device embodiments of the present invention are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those of the above method.

[0073] Another aspect of the embodiments of the present invention also provides a computer-readable storage medium. The storage medium stores a program, and the program is executed by a processor to implement the foregoing method.

[0074] It should be noted that the computer-readable medium shown in the embodiments of the present invention can be a computer-readable signal medium, a computer-readable storage medium, or any combination of the two. The computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the above. More specific examples of the computer-readable storage medium can include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, the computer-readable storage medium can be any tangible medium that contains or stores a program, and this program can be used by or in combination with an instruction execution system, apparatus, or device. In the present invention, the computer-readable signal medium can include a data signal propagated in a baseband or as part of a carrier wave, which carries computer-readable program code. Such a propagated data signal can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The computer-readable signal medium can also be any computer-readable medium other than the computer-readable storage medium, and this computer-readable medium can send, propagate, or transmit a program for use by or in combination with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0075] The content of the method embodiments of the present invention is applicable to this computer-readable storage medium embodiment. The functions specifically implemented by this computer-readable storage medium embodiment are the same as those of the above method embodiments, and the beneficial effects achieved are also the same as those of the above method.

[0076] The embodiments of the present invention also disclose a computer program product or a computer program. The computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The processor of the computer device can read the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the foregoing method.

[0077] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagram may represent a module, a segment of a program, or a part of code, and the above-mentioned module, segment of a program, or part of code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than that marked in the accompanying drawings. For example, two consecutively represented blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram or flowchart, as well as the combination of blocks in the block diagram or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0078] It should be noted that although several modules of devices for action execution are mentioned in the above detailed description, such a division is not mandatory. In fact, according to the embodiments of the present invention, the features and functions of two or more of the above-mentioned modules or units can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.

[0079] Through the description of the above embodiments, those skilled in the art can easily understand that the example embodiments described herein can be implemented by software or by a combination of software and necessary hardware. Therefore, the technical solutions according to the embodiments of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present invention.

[0080] In some alternative embodiments, the functions / operations mentioned in the block diagram may not occur in the order mentioned in the operation diagram. For example, depending on the functions / operations involved, two consecutively shown blocks may actually be executed substantially simultaneously or the blocks can sometimes be executed in the reverse order. In addition, the embodiments presented and described in the flowcharts of the present invention are provided by way of example for the purpose of providing a more comprehensive understanding of the technology. The disclosed methods are not limited to the operations and logical flows presented in the present invention. Alternative embodiments are foreseeable, in which the order of various operations is changed and the sub-operations described as part of a larger operation are executed independently.

[0081] In addition, although the present invention has been described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the functions and / or features may be integrated in a single physical device and / or software module, or one or more functions and / or features may be implemented in separate physical devices or software modules. It should also be understood that a detailed discussion of the actual implementation of each module is not necessary for understanding the present invention. Rather, considering the attributes, functions, and internal relationships of the various functional modules in the devices disclosed in the present invention, the actual implementation of the modules will be understood within the ordinary skills of an engineer. Therefore, those skilled in the art can implement the present invention as set forth in the claims without undue experimentation. It should also be understood that the specific concepts disclosed are merely illustrative and are not intended to limit the scope of the present invention, which is determined by the full scope of the appended claims and their equivalents.

[0082] If a function is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or a part of this technical solution, may be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods of the various embodiments of the present invention. The aforementioned storage medium includes: various media such as USB flash drives, mobile hard disks, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), magnetic disks, or optical discs that can store program codes.

[0083] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a predefined sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution device, apparatus, or equipment (such as a computer-based device, a device including a processor, or other devices that can fetch and execute instructions from the instruction execution device, apparatus, or equipment), or in combination with these instruction execution devices, apparatuses, or equipment. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transmit a program for use by or in combination with an instruction execution device, apparatus, or equipment.

[0084] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection (electronic device) having one or more wirings, a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable media can even be paper or other suitable media on which a program can be printed, as the program can be obtained electronically, for example, by optically scanning the paper or other media, then editing, interpreting, or otherwise processing it as appropriate, and then storing it in a computer memory.

[0085] It should be understood that various parts of the present invention can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution device. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), and the like.

[0086] In the description of this specification, the description referring to terms such as "an embodiment", "some embodiments", "example", "specific example", or "some examples", etc. means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0087] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the claims and their equivalents.

[0088] The above has specifically described the preferred embodiments of the present invention, but the present invention is not limited to the embodiments. Those skilled in the art can also make various equivalent deformations or substitutions without departing from the spirit of the present invention, and these equivalent deformations or substitutions are all included within the scope defined by the claims of the present invention.

Claims

1. A method for evaluating the water quality of deep ocean water, characterized in that, It includes the following steps: Obtain deep ocean water data through preset deep ocean water survey stations; Extract test data of deep ocean water based on the deep ocean water data; Construct evaluation indicators for multiple evaluation aspects of deep ocean water based on the basic properties of deep ocean water resources; Substitute the test data into the evaluation indicators to obtain the index scores of individual indicators for various characteristics of deep ocean water; In response to the target use of deep ocean water, obtain a water quality evaluation result based on the index scores of at least one of the individual indicators; 2. The method for evaluating the quality of deep ocean water according to claim 1, wherein The method further includes the following steps: Determine the station spacing corresponding to each investigation stage based on the correspondence between each investigation stage of deep ocean water and the investigation scale; Among them, the deep ocean water survey stations at each investigation stage are arranged by the grid method based on the station spacing at the corresponding investigation stage; 3. The method for evaluating the quality of deep ocean water according to claim 1, characterized in that, The deep ocean water data includes in-situ measurement data and sample collection data; obtaining the deep ocean water data includes the following steps: Obtain the in-situ measurement data at different depths; among them, the in-situ measurement data includes seawater temperature and salinity data; Use a CTD profiler to conduct stratified sampling of seawater to obtain the sample collection data at different investigation levels; Among them, when the seawater depth is in the first water depth interval, the investigation levels are set based on the first standard level interval; when the seawater depth is in the second water depth interval, the investigation levels are set based on the second standard level interval; 4. The method for evaluating the quality of deep ocean water according to claim 1, wherein The constructing evaluation indicators for multiple evaluation aspects of deep ocean water based on the basic properties of deep ocean water resources includes the following steps: Based on the investigation data of seawater physics, chemistry, and microorganisms, quantitatively or qualitatively evaluate the basic properties of the deep ocean water resources, and then divide to obtain the evaluation indicators for multiple evaluation aspects; Among them, the evaluation aspects include sensory and general properties, trace elements, nutrient salts, heavy metal elements, inorganic pollutants, organic pollutants, radioactivity, microorganisms, and molecular clusters; 5. The method for evaluating the quality of deep ocean water according to claim 1, characterized in that, The evaluation aspects include sensory and general properties, trace elements, nutrient salts, heavy metal elements, inorganic pollutants, organic pollutants, radioactivity, microorganisms, and molecular clusters, and the individual indicators include low temperature property, cleanliness, nutrition, and small molecular cluster property; the substituting the test data into the evaluation indicators to obtain the index scores of individual indicators for various characteristics of deep ocean water includes the following steps: Substitute the test data into the evaluation indicators to obtain the parameter values of the evaluation indicators corresponding to each evaluation aspect; Among them, the evaluation indicator of the sensory and general properties includes temperature; Based on the temperature interval in which the parameter value of the temperature in the sensory and general properties is located, map and determine the index score of the low temperature property; Based on the parameter values of the evaluation indicators corresponding to the sensory and general properties, the heavy metal elements, the inorganic pollutants, the organic pollutants, the radioactivity, and the microorganisms, combine with a preset first reference limit value to determine the index score of the cleanliness; Based on the parameter values of the evaluation indicators corresponding to the nutrient salts and the trace elements, determine the index score of the nutritional property in combination with the preset second reference limit value; Based on the Hertz value interval in which the parameter values of the evaluation indicators corresponding to the molecular clusters are located, map and determine the index score of the small molecular cluster property.

6. The method for evaluating the quality of deep ocean water according to claim 1, characterized in that, The target uses include a single-item evaluation request and an application field evaluation request. In response to the target uses of the deep ocean water, obtaining a water quality evaluation result based on the index scores of at least one of the single-item indicators includes the following steps: In response to the single-item evaluation request, directly output the water quality evaluation result according to the index score of the corresponding single-item indicator; In response to the application field evaluation request, perform a combined evaluation based on the index scores of multiple single-item indicators corresponding to the target application field to obtain the water quality evaluation result.

7. The method for evaluating the quality of deep ocean water according to claim 6, wherein The performing a combined evaluation based on the index scores of multiple single-item indicators corresponding to the target application field to obtain the water quality evaluation result includes the following steps: Based on the index scores of multiple single-item indicators corresponding to the target application field, use the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and the entropy weight method to perform a multi-index comprehensive evaluation to obtain the water quality evaluation result.

8. An apparatus for evaluating the water quality of deep ocean water, characterized in that, Comprising: A first module for obtaining deep ocean water data through preset deep ocean water survey stations; A second module for extracting test data of the deep ocean water based on the deep ocean water data; A third module for constructing evaluation indicators for multiple evaluation aspects of the deep ocean water based on the basic properties of the deep ocean water resources; A fourth module for substituting the test data into the evaluation indicators to obtain the index scores of the single-item indicators of the various characteristics of the deep ocean water; A fifth module for obtaining a water quality evaluation result based on the index scores of at least one of the single-item indicators in response to the target uses of the deep ocean water.

9. An electronic device, characterized in that, Comprising a processor and a memory; The memory is used for storing programs; The processor executes the program to implement the method according to any one of claims 1 to 7.

10. A computer storage medium storing a program executable by a processor, characterized in that, The program executable by the processor, when executed by the processor, is used to implement the method according to any one of claims 1 to 7.

Images