Multifunctional marine environment monitoring intelligent early warning system and method

Abstract

The invention provides a multifunctional marine environment monitoring intelligent early warning system and method, and belongs to the technical field of early warning equipment and data processing. The system comprises a monitoring subsystem, a display subsystem and an accessory device. The method comprises the following steps: S710, acquiring multiple environmental monitoring data of a target sea area; s720, performing local edge processing on the plurality of environmental monitoring data to obtain a preliminary risk early warning result; s730, judging whether the preliminary risk early warning result is a determined early warning level or not, if yes, determining the preliminary risk early warning result as a final risk early warning result, and entering the step S750; otherwise, entering the step S740; s740, sending the preliminary risk early warning result and multiple items of environmental monitoring data to a cloud server, and executing cloud data early warning processing by the cloud server to obtain a final risk early warning result; and S750, issuing a final risk early warning result. According to the invention, omnibearing marine environment monitoring intelligent early warning can be realized with low local energy consumption.

Description

Technical Field

[0001] The present invention belongs to the field of early warning equipment and data processing technology, and in particular relates to a multifunctional marine environment monitoring intelligent early warning system and method, electronic equipment implementing the method, a computer program product, and a computer-readable storage medium. Background Art

[0002] Intelligent early warning for marine environmental monitoring aims to timely grasp changes in the marine environment and provide a scientific basis for marine resource development, environmental protection, disaster prevention, etc., so as to ensure the health and sustainable development of the marine ecosystem and reduce the impact of marine disasters and pollution incidents on human society and the economy.

[0003] Marine disaster warning is one of the most important applications. By monitoring marine meteorological, hydrological and other factors, such as typhoons, storm surges, tsunamis and other disaster-related parameters, early warning information can be issued in advance to protect the lives and property of residents in coastal areas and offshore workers.

[0004] With the continuous development of technologies such as artificial intelligence, big data, and the Internet of Things, especially the popularization of smart handheld terminals, it is now possible to use satellite communications, wireless communications, etc. to transmit data collected by marine sensors to the control center or data processing platform on shore in a timely manner for processing, and then the generated early warning signals can be quickly and timely sent or pushed to user terminals through various public media.

[0005] However, according to relevant regulations and national standards (such as the national standard "Marine Disaster Early Warning Symbols" GB / T45029-2024), relevant sea areas also need to be equipped with physical and visible risk warning markers, such as warning tide markers and ocean stations, to implement marine environmental monitoring and early warning based on these risk warning markers. Such risk warning markers are usually unable to achieve external power supply and can only rely on local energy (such as solar energy) to operate. Energy consumption is the main factor affecting their working status. They can usually only provide basic warning functions statically and have relatively simple functions, which cannot achieve comprehensive marine environmental monitoring and intelligent early warning. Summary of the Invention

[0006] In response to the above technical problems, the present invention proposes a multifunctional marine environment monitoring intelligent early warning system and method, an electronic device for implementing the method, a computer program product and a computer-readable storage medium.

[0007] In a first aspect of the present invention, a multifunctional marine environment monitoring intelligent early warning system is proposed, which includes a monitoring subsystem, a display subsystem and an auxiliary device; the auxiliary device is a static display device that does not require power supply.

[0008] The monitoring subsystem is used to obtain multiple environmental monitoring data of the target sea area and send the multiple environmental monitoring data to the display subsystem;

[0009] The display subsystem is configured with an edge processing unit, a cloud communication unit and a risk warning unit;

[0010] After the edge processing unit performs local edge processing on the plurality of environmental monitoring data, a preliminary risk warning result is obtained, wherein the preliminary risk warning result includes one of a plurality of risk warning levels;

[0011] Determining whether to enable the cloud communication unit based on the level range of the preliminary risk warning result;

[0012] The cloud communication unit receives the preliminary risk warning result and the multiple environmental monitoring data, performs cloud data warning processing, obtains a final risk warning result and sends it to the display subsystem;

[0013] The display subsystem displays the final risk warning result on the risk warning unit;

[0014] The auxiliary device is used to explain the final risk warning result.

[0015] The system further includes a local power supply unit, which provides energy to the display subsystem.

[0016] The local power supply unit is one of a solar power supply unit, a tidal power supply unit, a wind power supply unit, a wave power supply unit, a temperature difference power supply unit, or any combination thereof.

[0017] The monitoring subsystem obtains multiple environmental monitoring data of the target sea area from the public cloud-based marine environment monitoring platform;

[0018] and / or,

[0019] The monitoring subsystem includes a plurality of marine environment monitoring sensors, and acquires a plurality of environmental monitoring data of the target sea area based on the plurality of marine environment monitoring sensors.

[0020] The multiple risk warning levels include a definite warning level and a fuzzy warning level;

[0021] The determining whether to enable the cloud communication unit based on the level range of the preliminary risk warning result specifically includes:

[0022] When the preliminary risk warning result is a fuzzy warning level, it is determined to enable the cloud communication unit; otherwise, the cloud communication unit is not enabled, and the preliminary risk warning result is used as the final risk warning result.

[0023] In a second aspect of the present invention, a multifunctional marine environment monitoring intelligent early warning method is proposed, the method comprising the following steps:

[0024] S710: Acquire multiple environmental monitoring data of the target sea area;

[0025] S720: After performing local edge processing on the multiple environmental monitoring data, a preliminary risk warning result is obtained;

[0026] S730: Determine whether the preliminary risk warning result is a confirmed warning level. If so, determine the preliminary risk warning result as the final risk warning result and proceed to step S750;

[0027] Otherwise, proceed to step S740;

[0028] S740: Sending the preliminary risk warning result and the multiple environmental monitoring data to the cloud server, the cloud server performs cloud data warning processing to obtain a final risk warning result; S750: Publishing the final risk warning result.

[0029] The method further comprises:

[0030] A static display device that does not require power is used to explain the final risk warning result.

[0031] In the method:

[0032] The step S710 specifically includes: obtaining a plurality of environmental monitoring data of the target sea area from a public cloud-based marine environmental monitoring platform;

[0033] and / or,

[0034] Based on multiple marine environment monitoring sensors, multiple environmental monitoring data of the target sea area are obtained.

[0035] The present invention first obtains multiple environmental monitoring data of the target sea area, performs local edge processing on the multiple environmental monitoring data, and obtains preliminary risk warning results; then determines whether the preliminary risk warning results are for determining the warning level. If so, the preliminary risk warning results are determined as the final risk warning results; otherwise, the preliminary risk warning results and the multiple environmental monitoring data are sent to the cloud server, and the cloud server performs cloud data warning processing to obtain the final risk warning results; the final risk warning results are released, so that all-round marine environmental monitoring intelligent warning can be achieved with lower local energy consumption. Its specific advantages and implementation principles will be further reflected in detail in the specific embodiment part in combination with the drawings in the specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0037] Figure 1 This is a schematic diagram of the subsystem / device composition of a multifunctional marine environment monitoring intelligent early warning system according to one embodiment of the present invention;

[0038] Figure 2 yes Figure 1 A schematic diagram of the data interaction flow between the internal functional units of the system;

[0039] Figure 3 yes Figure 1 A schematic diagram of the working principle of the system;

[0040] Figure 4 This is a schematic diagram of the main process of a multifunctional marine environment monitoring intelligent early warning method according to an embodiment of the present invention;

[0041] Figure 5 is Figure 1 The system performs Figure 4 A computer flow diagram of the method. DETAILED DESCRIPTION

[0042] In the specific implementation of this application, if the embodiments of the relevant technical solutions involve user-related data, when the embodiments of this application are applied to specific products or technologies, user permission or consent must be obtained, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0043] See first Figure 1 , Figure 1 The present invention is a schematic diagram of the subsystem / device composition of a multifunctional marine environment monitoring intelligent early warning system according to an embodiment of the present invention.

[0044] exist Figure 1 The system is shown to include a monitoring subsystem, a display subsystem and auxiliary devices.

[0045] The monitoring subsystem is used to obtain multiple environmental monitoring data of the target sea area and send the multiple environmental monitoring data to the display subsystem.

[0046] There are a lot of environmental monitoring data for the target sea area. In the technical solution of the present invention, based on different early warning and monitoring purposes, the monitoring subsystem needs to pay attention to different environmental monitoring data.

[0047] Therefore, before implementing the technical solution of the present invention, it is necessary to first determine the warning and monitoring purposes, which include sea area hydrological risk monitoring and warning, sea area water quality monitoring and warning / marine life monitoring and warning, etc.

[0048] For different early warning and monitoring purposes, the corresponding environmental monitoring data are different, as shown below:

[0049] Marine hydrological risk monitoring and early warning: Environmental monitoring data includes hydrological and meteorological data, mainly including:

[0050] Ocean currents: The speed and direction of ocean currents are crucial for determining the spread of pollutants and the drift of oil spills at sea. Abnormal ocean currents may indicate an unstable marine environment.

[0051] Waves: Wave height, period, and other parameters are related to coastal erosion and offshore safety. Larger waves can damage coastal infrastructure and affect navigation safety. When wave heights exceed certain thresholds, storm surge warnings may be triggered for coastal areas.

[0052] Tides: Tidal changes affect water exchange and salinity distribution in estuaries, bays, and other areas. Abnormal tidal changes can affect the balance of coastal ecosystems, such as causing seawater backflow and impacting freshwater ecosystems in estuaries.

[0053] Meteorological data: including wind speed, wind direction, air pressure, precipitation, etc. Severe weather conditions such as strong winds, heavy rain, and typhoons may trigger marine disasters such as storm surges and sea fog, posing a threat to maritime transportation, fishery production, and the safety of life and property of coastal residents.

[0054] Marine water quality monitoring and early warning: Environmental monitoring data includes water quality data, mainly including:

[0055] Dissolved oxygen: Dissolved oxygen levels are a key indicator of marine ecological health. Low dissolved oxygen areas (also known as "ocean dead zones") can lead to the death of marine life due to lack of oxygen, disrupting the balance of the ecosystem. When dissolved oxygen concentrations fall below a certain level, alert to the potential for an ecological crisis.

[0056] Acidity (pH): The pH of seawater reflects its acidity and alkalinity. Long-term pH fluctuations can affect the physiological functions, skeleton and shell formation, and other aspects of marine life. Ocean acidification poses a serious threat to organisms with calcium carbonate shells or skeletons, such as shellfish and corals, and can affect the structure and function of entire ecosystems.

[0057] Nutrient salts: Excessive levels of nutrients such as inorganic nitrogen and active phosphates may trigger explosive reproduction of harmful algae such as red tides and green tides, consume dissolved oxygen in the water, cause harm to marine life, and affect the normal function of the marine ecosystem.

[0058] Chemical Oxygen Demand (COD): COD reflects the amount of organic matter and reducing inorganic compounds in water. High COD values ​​indicate that the water is contaminated by organic matter, which may come from industrial wastewater, domestic sewage, or oil spills, negatively impacting the habitat of marine life.

[0059] Heavy metals: Mercury, cadmium, lead, and chromium accumulate and biomagnify in the marine environment, causing chronic toxic effects on the growth, development, and reproduction of marine organisms. They can even pose a threat to human health through the food chain. When heavy metal levels exceed certain limits, it indicates a potential risk to the marine ecosystem.

[0060] Petroleum-based substances: Petroleum pollutants in the ocean primarily come from ship leaks and offshore oil drilling activities. Oil leaks form oil films on the sea surface, blocking oxygen from entering the water, affecting the breathing of marine life, and causing direct harm to marine birds and mammals, leading to ecological disasters.

[0061] Water temperature: Abnormal increases or decreases in seawater temperature can affect the survival and reproduction of marine life. For example, high water temperatures can trigger coral bleaching, threatening coral reef ecosystems. Rapid changes in water temperature can also be a precursor to marine disasters such as El Niño and La Niña.

[0062] As a specific embodiment, the embodiment of the present invention is described below using marine hydrological risk monitoring and early warning as an example of the purpose, but it can be understood that the technical solution of the present invention can also achieve early warning monitoring for other purposes.

[0063] At this time, the monitoring subsystem obtains multiple environmental monitoring data of the target sea area from the public cloud-based marine environment monitoring platform;

[0064] and / or,

[0065] The monitoring subsystem includes a plurality of marine environment monitoring sensors, and acquires a plurality of environmental monitoring data of the target sea area based on the plurality of marine environment monitoring sensors.

[0066] Preferably, the public cloud-based ocean environment monitoring platform can be, for example, an ocean weather forecast, an ocean real-time database, or other openly accessible ocean environment monitoring platform data source;

[0067] Preferably, the monitoring subsystem simultaneously obtains multiple environmental monitoring data of the target sea area from the public cloud-based marine environment monitoring platform and the multiple sea environment monitoring sensors, and determines the multiple environmental monitoring data of the target sea area after performing data fusion. The data fusion includes operations such as deduplication, filtering, and data verification and comparison.

[0068] exist Figure 1 Based on this, continue to see Figure 2 , Figure 2 yes Figure 1 Schematic diagram of the data interaction flow between the internal functional units of the system.

[0069] Figure 2 In the embodiment, the display subsystem is configured with an edge processing unit, a cloud communication unit and a risk warning unit;

[0070] After the edge processing unit performs local edge processing on the plurality of environmental monitoring data, a preliminary risk warning result is obtained, wherein the preliminary risk warning result includes one of a plurality of risk warning levels;

[0071] Determining whether to enable the cloud communication unit based on the level range of the preliminary risk warning result;

[0072] The edge processing unit described in this embodiment refers to a local edge processor dedicated to marine data processing, which can be powered by renewable energy such as solar energy, wind energy, and wave energy.

[0073] The edge processing unit has basic data preprocessing capabilities (such as statistical analysis capabilities) and loads basic data analysis models, such as time trend analysis models, data fitting models, etc., and can perform basic time series predictions on data with low computational complexity and without generating high energy consumption.

[0074] In practical applications, each item (each type) of the multiple environmental monitoring data can be regarded as time series data, and the edge processing unit performs local edge processing on the multiple environmental monitoring data, including one of the following or any combination thereof:

[0075] (1) Statistical analysis: including obtaining the mean, variance, and rate of change of the current (historical) sequence; obtaining the maximum value, minimum value, and maximum rate of change;

[0076] (2) Prediction analysis: predict the maximum value, minimum value, and maximum rate of change of the future period; predict the data distribution trend of the future period, etc.;

[0077] (3) The risk interval corresponding to the statistical analysis results or the predictive analysis results. The risk interval can be described qualitatively, such as no risk, low risk, relatively high risk, or high risk; or described by a score, such as 0-10, 10-45, 46-65, 66-85, 86-100, etc.

[0078] As an example, the current environmental monitoring data is wave height, and a wave height risk threshold can be set in advance. When the wave height is lower than h1, it is considered to be risk-free. When it is greater than h1 and less than h2, there is a certain risk (low risk); when it is greater than h2 and less than h3, there is a greater risk (higher risk); when it is greater than h3, it is considered to be high risk.

[0079] At this time, the monitoring subsystem continuously obtains the time series data of the wave height of the target sea area, and sends the time series data of the wave height to the display subsystem;

[0080] After the edge processing unit configured in the display subsystem performs at least one of the aforementioned local edge processing operations on the time series data of the wave height, the following may be obtained:

[0081] (1) Statistical analysis of time series data with known wave heights;

[0082] (2) Predictive analysis value of time series data with known wave height;

[0083] (3) Risk interval corresponding to the statistical analysis results or predictive analysis results;

[0084] That is, the edge processing unit performs local edge processing on the plurality of environmental monitoring data to obtain a preliminary risk warning result, wherein the preliminary risk warning result includes one of a plurality of risk warning levels;

[0085] In the above example, the multiple risk warning levels include no risk, low risk, relatively high risk, and high risk; or include multiple intervals such as 0-10, 10-45, 46-65, 66-85, and 86-100.

[0086] In a specific embodiment, multiple risk warning levels may also be represented by risk color levels, for example, blue-yellow-orange-red from low to high;

[0087] At this time, based on the level range of the preliminary risk warning result, determining whether to enable the cloud communication unit;

[0088] The cloud communication unit receives the preliminary risk warning result and the multiple environmental monitoring data, performs cloud data warning processing, obtains a final risk warning result and sends it to the display subsystem;

[0089] The display subsystem displays the final risk warning result on the risk warning unit;

[0090] The auxiliary device is used to explain the final risk warning result.

[0091] Next, the improvements of the technical solution of the present invention are further explained.

[0092] After long-term data simulation and application practice tests, the inventors found that after the edge processing unit performs local edge processing on the multiple environmental monitoring data, the reliability (robustness, confidence) of the preliminary risk warning results obtained in different risk intervals varies greatly.

[0093] Specifically, the preliminary risk warning results are "accurate at both ends and vague in the middle".

[0094] That is to say, when the preliminary risk warning result is "no risk" or "high risk", the accuracy of the result is very high, while when the preliminary risk warning result is "low risk" or "higher risk", the confidence of the result is low and is in a "fuzzy" area.

[0095] In another example, when the preliminary risk warning result is "0-10" or "86-100", the accuracy of the result is very high, while when the preliminary risk warning result is 10-45, 46-65, or 66-85, the confidence of the result is low and is in a "fuzzy" area.

[0096] During the process of extensive data testing and verification, this analysis result also conforms to the law of large numbers, as well as the statistical laws and technical principles known in this field.

[0097] Based on this, a further improved technical solution of the present invention is: dividing the multiple risk warning levels into fuzzy warning levels and definite warning levels;

[0098] Specifically, referring to the above description, the determined warning level is the highest level (for example, red) and the lowest level (for example, blue) among multiple risk warning levels arranged in sequence; and the fuzzy warning level is the middle level among multiple risk warning levels arranged in sequence, that is, other levels except the determined warning level (for example, yellow, orange).

[0099] At this time, the multiple risk warning levels include a definite warning level and a fuzzy warning level;

[0100] The determining whether to enable the cloud communication unit based on the level range of the preliminary risk warning result specifically includes:

[0101] When the preliminary risk warning result is a fuzzy warning level, it is determined to enable the cloud communication unit; otherwise, the cloud communication unit is not enabled, and the preliminary risk warning result is used as the final risk warning result.

[0102] It can be seen that when the preliminary risk warning result is a definite warning level, there is no need to enable the cloud communication unit. It is considered that the current preliminary risk warning result is definite and reliable and can be directly published and displayed.

[0103] The cloud communication unit itself needs to exchange data with remote servers (such as a central control console or base data center) and call cloud data processing models to transmit and download data and models. This data transmission and processing is complex and consumes a lot of energy. It should not be enabled unless necessary to save energy.

[0104] However, if the preliminary risk warning result is at the fuzzy warning level, it means that the confidence level of the preliminary risk warning result is low. At this time, whether to release it directly or not may involve considerable risk. The most direct reason for the preliminary risk warning result being at the fuzzy warning level is that the result is based on local edge processing, and the capabilities of local edge processors are relatively limited and cannot make judgments in complex situations.

[0105] At this time, the cloud communication unit needs to be activated. The cloud communication unit receives the preliminary risk warning results and the multiple environmental monitoring data, performs cloud data warning processing, obtains the final risk warning results and sends them to the display subsystem, and then the display subsystem displays the final risk warning results on the risk warning unit.

[0106] It can be seen that in the embodiment of the present invention, the confidence issue of the local edge processing results is taken into account, and the overall energy consumption problem of the system is taken into account, thereby ensuring the normal operation of the multi-function of the marine environment monitoring intelligent early warning to the greatest extent.

[0107] Figure 3 Further showing Figure 1 Schematic diagram of the working principle of the system.

[0108] Specifically, the monitoring subsystem sends the environmental monitoring data to the display subsystem, which then performs local edge processing based on the edge processing unit to obtain preliminary risk warning results.

[0109] If the preliminary risk warning result does not meet the conditions for triggering cloud communication, the preliminary risk warning result will be directly used as the final risk warning result and released by the risk warning unit;

[0110] Otherwise, the cloud communication unit needs to be activated to obtain the final risk warning result.

[0111] The auxiliary device is used to explain the final risk warning result.

[0112] Specifically, in order to further reduce energy consumption, the auxiliary device is a static display device that does not require power supply.

[0113] As an example, the auxiliary device is specifically implemented as an auxiliary signboard, and the content of the auxiliary signboard includes information such as the numerical value of each level of warning risk, warning meaning, facility protection warning, signature and construction time, and the numerical value of the reference base surface elevation.

[0114] Taking the early warning monitoring environmental parameter as tide and multiple risk warning levels represented by blue-yellow-orange-red as an example, the display content of the auxiliary signboard is as shown in the following table:

[0115]

[0116] To reinforce the stability of the auxiliary signage and display subsystem, the project used bricks and stones to pile and cast an area in a designated location. The height of this area was precisely controlled to 15 cm below the blue warning water level to ensure that the auxiliary signage remained stable below the warning water level. Subsequently, the auxiliary signage and risk warning unit were erected and initially secured, and then compositely adjusted to reach the specified height. To ensure the firmness of the auxiliary signage and risk warning unit, the column was fixed using screw welding technology, and a steel cage was built around the base of the column to further enhance its structural strength.

[0117] Preferably, the display subsystem displays the final risk warning result on the risk warning unit, which may specifically be:

[0118] The system uses customized warning lights that can change to blue, yellow, orange, and red according to the risk level. When the risk value reaches the set warning value, the data acquisition controller and the laser water level meter all-in-one control the corresponding four-color warning light to light up. When the risk value falls below the warning value again, the warning light goes out. Main technical indicators:

[0119] (1) Operating temperature: -20℃~+65℃

[0120] (2) Power supply: DC12V power supply 1 way

[0121] (3) Level 1 alarm: blue light 1 way

[0122] (4) Level 2 alarm: Yellow light 1 way

[0123] (5) Level 3 alarm: Orange light 1 way

[0124] (6) Level 4 alarm: red light 1 way

[0125] (7) Visual distance: 2km.

[0126] When implementing the technical solution of the present invention, the system further includes a local power supply unit, which provides energy for the display subsystem.

[0127] The local power supply unit is one of a solar power supply unit, a tidal power supply unit, a wind power supply unit, a wave power supply unit, a temperature difference power supply unit, or any combination thereof.

[0128] The above local power supply units are in line with the actual implementation scenario of the technical solution of this application, have strong pertinence and operability, and are preferably used in combination. The specific working principles of each power supply unit are as follows:

[0129] Solar power supply units, tidal power supply units, wind power supply units, wave power supply units, and temperature difference power supply units are all important components of the marine renewable energy power supply system. The following is an introduction to them:

[0130] Solar power supply unit

[0131] Principle: Solar panels utilize the photovoltaic effect to convert solar radiation directly into electrical energy. When sunlight strikes a solar panel, the semiconductor material within the panel absorbs the photon energy, generating electron-hole pairs. Under the influence of the internal electric field of the cell, the electrons and holes separate and migrate in a directed manner, generating an electric current.

[0132] - Features: Clean and pollution-free, inexhaustible; however, the energy supply is intermittent and unstable due to factors such as day and night, weather (sunny, cloudy, rainy), and seasons.

[0133] Tidal power supply unit

[0134] Principle: Based on the ebb and flow of tides, turbines and other equipment are used to convert the kinetic and potential energy of the tides into electrical energy. During high tide, seawater flows into the reservoir, driving the turbines to generate electricity. During low tide, water flows out of the reservoir, driving the turbines again to generate electricity.

[0135] Features: Energy is regular and predictable; it is a relatively stable energy source and environmentally friendly. It is designed to be built in areas with large tidal ranges.

[0136] -Application scenarios: Suitable for coastal areas, especially places with suitable bays or estuaries, to provide power for coastal base stations, offshore aquaculture platforms, etc.

[0137] Wind power supply unit

[0138] Principle: Wind energy is converted into mechanical energy through a wind turbine, which is then converted into electrical energy. The wind rotates the blades of the wind turbine, driving the rotor of the generator, which cuts through the magnetic flux lines and generates current.

[0139] - Characteristics: Wind energy resources are abundant and are a clean energy source; however, the size and direction of wind energy are random and greatly affected by meteorological conditions, resulting in unstable energy output.

[0140] Wave power supply unit

[0141] Principle: Utilizing the ups and downs, back-and-forth surges, and other forms of wave motion, various devices convert wave energy into mechanical energy, which is then converted into electrical energy through generators. For example, an oscillating water column device uses waves to compress and expand air within a chamber, driving an air turbine to generate electricity; a pendulum device uses waves to propel a pendulum, driving a generator to generate electricity.

[0142] - Features: The energy density is relatively high, and the wave energy is relatively stable, and is not affected by the temperature difference between day and night.

[0143] Principle: Power generation is based on the temperature difference between the ocean's surface and deeper waters. Typically, a low-boiling-point working fluid (such as ammonia) evaporates into steam in the warm surface water, driving a turbine to generate electricity. The steam then condenses in the cooler, deeper waters, and a pump returns the condensed working fluid to the surface, repeating the cycle.

[0144] - Features: Stable energy supply, not restricted by time and climate.

[0145] Based on the combination of multiple local power supply units and the energy consumption control strategy proposed in this application, the present invention can achieve comprehensive marine environment monitoring and intelligent early warning with lower local energy consumption.

[0146] exist Figure 1-Figure 3 Based on the system (product, equipment) implementation examples, Figure 4 A schematic diagram showing the main flow of a multifunctional marine environment monitoring intelligent early warning method according to an embodiment of the present invention.

[0147] exist Figure 4 , the implementation process of the method includes:

[0148] S710: Acquire multiple environmental monitoring data of the target sea area;

[0149] S720: After performing local edge processing on the multiple environmental monitoring data, a preliminary risk warning result is obtained;

[0150] S730: Determine whether the preliminary risk warning result is a confirmed warning level. If so, determine the preliminary risk warning result as the final risk warning result and proceed to step S750;

[0151] Otherwise, proceed to step S740;

[0152] S740: Sending the preliminary risk warning result and the multiple environmental monitoring data to the cloud server, the cloud server performs cloud data warning processing to obtain a final risk warning result; S750: Publishing the final risk warning result.

[0153] The method further comprises:

[0154] A static display device that does not require power is used to explain the final risk warning result.

[0155] The step S710 specifically includes: obtaining a plurality of environmental monitoring data of the target sea area from a public cloud-based marine environmental monitoring platform;

[0156] And / or, obtaining multiple environmental monitoring data of the target sea area based on multiple sea area environmental monitoring sensors.

[0157] Preferably, before step S710, the method further includes:

[0158] S700: Determine the purpose of early warning and monitoring, which includes marine hydrological risk monitoring and early warning, marine water quality monitoring and early warning / marine life monitoring and early warning;

[0159] S701: Based on early warning and monitoring purposes, determine the multiple environmental monitoring data that need to be obtained.

[0160] In specific implementation, the purpose of early warning and monitoring can also be marine disaster early warning. In this case, the monitoring data is determined based on the type of marine disaster, including:

[0161] Storm surge: It is necessary to monitor data such as tide level, wind speed, wind direction, and air pressure. Tide level data can directly reflect changes in sea level during a storm surge, helping to determine the intensity of the storm surge and the potential inundation range. Wind speed and direction data can understand the movement and intensity of the storm, while air pressure data can help analyze the development and evolution of the storm system.

[0162] Tsunamis: In addition to tide levels, it is also necessary to monitor changes in seafloor topography and seismic wave data. Seafloor topography changes can reflect potential factors that trigger tsunamis, such as plate movement. Seismic wave data can provide real-time information about earthquakes, helping to determine whether there is a potential for a tsunami.

[0163] Sea Ice: Monitors sea ice thickness, extent, drift speed, and direction. Sea ice thickness affects maritime navigation safety and the stability of marine engineering facilities, while its extent and drift are crucial for port operations and maritime transport route planning.

[0164] In specific implementation, the purpose of early warning and monitoring can also be marine ecological early warning. In this case, the monitoring data is determined based on the marine ecological type, including:

[0165] Water quality: This includes data on dissolved oxygen, chemical oxygen demand (COD), biochemical oxygen demand (BOD), nutrients (such as nitrogen, phosphorus, and silicates), heavy metals (such as mercury, cadmium, and lead), and petroleum. Dissolved oxygen reflects the water's self-purification capacity and the biological environment. Nutrient concentrations influence plankton growth, which in turn affects the entire marine food chain. Heavy metals and petroleum affect the health of marine life and the stability of the ecosystem.

[0166] Biological activities: Monitor the species, abundance, and distribution of plankton, benthic organisms, and fish. Plankton is the foundational producer of marine ecosystems, and its changes reflect the primary productivity of these ecosystems. The diversity and abundance of benthic organisms reflect the health of the seabed ecosystem. Monitoring fish stocks is crucial for the sustainable development of fisheries.

[0167] Seawater temperature and salinity: Changes in temperature and salinity affect the growth, reproduction, and distribution of marine life, and also have significant impacts on ocean circulation and climate. For example, certain fish species have specific water temperature requirements, and changes in salinity can affect the osmotic pressure regulation of marine organisms.

[0168] Although not shown in the accompanying drawings, preferably, further product embodiments may also include an electronic device, particularly a terminal electronic device, comprising a memory and one or more processors. The memory stores one or more application programs, which are adapted to be executed by the one or more processors to implement the aforementioned multifunctional marine environment monitoring intelligent early warning method.

[0169] Although not shown in the accompanying drawings, more embodiments also include a computer medium that stores a computer program. When the computer program is executed, all or part of the steps of the aforementioned multifunctional marine environment monitoring intelligent early warning method are implemented.

[0170] Figure 5 is Figure 1 The system performs Figure 4 A computer flow diagram of the method.

[0171] exist Figure 5 In the process, after the program starts, the monitoring subsystem collects environmental data and transmits it to the display subsystem; the edge processing unit of the display subsystem performs local analysis and generates preliminary risk warning results;

[0172] Based on the preliminary risk warning results, determine whether the cloud activation threshold is reached. If so, enable the cloud communication unit; otherwise, directly display the preliminary warning results (i.e., the final warning results) locally;

[0173] After enabling the cloud communication unit, upload data and preliminary results to the cloud;

[0174] The cloud performs deep data warning processing to generate the final risk warning results; the risk warning unit displays the final results, and the auxiliary device provides result explanations.

[0175] It can be understood that the system, product, device, medium embodiments and method implementations correspond to each other and can reference each other. Their principles are similar or the same, so they will not be repeated.

[0176] The present invention first obtains multiple environmental monitoring data of the target sea area, performs local edge processing on the multiple environmental monitoring data, and obtains preliminary risk warning results; then determines whether the preliminary risk warning results are for determining the warning level. If so, the preliminary risk warning results are determined as the final risk warning results; otherwise, the preliminary risk warning results and the multiple environmental monitoring data are sent to the cloud server, and the cloud server performs cloud data warning processing to obtain the final risk warning results; the final risk warning results are released, thereby enabling all-round marine environmental monitoring intelligent warning with lower local energy consumption.

[0177] For other technologies, principles, algorithms or models not elaborated in detail in this application, please refer to the existing technology.

[0178] The foregoing has shown and described the method embodiments and system of the present invention, but it is understood by those skilled in the art that various changes, modifications, substitutions and variations may 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 appended claims and their equivalents.

Claims

1. A multifunctional marine environment monitoring intelligent early warning system, comprising a monitoring subsystem, a display subsystem, and auxiliary devices; characterized in that: The monitoring subsystem is used to obtain multiple environmental monitoring data of the target sea area and send the multiple environmental monitoring data to the display subsystem; The display subsystem is configured with an edge processing unit, a cloud communication unit and a risk warning unit; After the edge processing unit performs local edge processing on the plurality of environmental monitoring data, a preliminary risk warning result is obtained, wherein the preliminary risk warning result includes one of a plurality of risk warning levels; Determining whether to enable the cloud communication unit based on the level range of the preliminary risk warning result; The cloud communication unit receives the preliminary risk warning result and the multiple environmental monitoring data, performs cloud data warning processing, obtains a final risk warning result and sends it to the display subsystem; The display subsystem displays the final risk warning result on the risk warning unit; The auxiliary device is used to explain the final risk warning result.

2. A multifunctional marine environment monitoring intelligent early warning system according to claim 1, characterized in that: The system further includes a local power supply unit, which provides energy to the display subsystem.

3. A multifunctional marine environment monitoring intelligent early warning system according to claim 1, characterized in that: The monitoring subsystem obtains multiple environmental monitoring data of the target sea area from the public cloud-based marine environment monitoring platform; and / or, The monitoring subsystem includes a plurality of marine environment monitoring sensors, and acquires a plurality of environmental monitoring data of the target sea area based on the plurality of marine environment monitoring sensors.

4. A multifunctional marine environment monitoring intelligent early warning system according to claim 1, characterized in that: The multiple risk warning levels include a definite warning level and a fuzzy warning level; The determining whether to enable the cloud communication unit based on the level range of the preliminary risk warning result specifically includes: When the preliminary risk warning result is a fuzzy warning level, it is determined to enable the cloud communication unit; otherwise, the cloud communication unit is not enabled, and the preliminary risk warning result is used as the final risk warning result.

5. The multifunctional marine environment monitoring intelligent early warning system according to claim 2, characterized in that: The local power supply unit is one of a solar power supply unit, a tidal power supply unit, a wind power supply unit, a wave power supply unit, a temperature difference power supply unit, or any combination thereof.

6. The multifunctional marine environment monitoring intelligent early warning system according to claim 1, characterized in that: The auxiliary device is a static display device that does not require power supply.

7. A multifunctional marine environment monitoring intelligent early warning method, characterized in that: The method comprises the following steps: S710: Acquire multiple environmental monitoring data of the target sea area; S720: After performing local edge processing on the multiple environmental monitoring data, a preliminary risk warning result is obtained; S730: Determine whether the preliminary risk warning result is a confirmed warning level. If so, determine the preliminary risk warning result as the final risk warning result and proceed to step S750; Otherwise, proceed to step S740; S740: Sending the preliminary risk warning result and the multiple environmental monitoring data to a cloud server, and the cloud server performing cloud data warning processing to obtain a final risk warning result; S750: Publish the final risk warning result.

8. A multifunctional marine environment monitoring intelligent early warning method according to claim 7, characterized in that: The method further comprises: A static display device that does not require power is used to explain the final risk warning result.

9. A multifunctional marine environment monitoring intelligent early warning method according to claim 7, characterized in that: In the method: The step S710 specifically includes: obtaining a plurality of environmental monitoring data of the target sea area from a public cloud-based marine environmental monitoring platform; And / or, obtaining multiple environmental monitoring data of the target sea area based on multiple sea area environmental monitoring sensors.

10. A computer-readable storage medium, characterized in that The method comprises computer program instructions, and when the computer program instructions are executed by a processor, a multifunctional marine environment monitoring intelligent early warning method according to any one of claims 7 to 9 is visually implemented on an electronic device containing the processor.

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