A system and method for predicting information of a falling object based on a marine environment

Abstract

The application provides a system and method for predicting information of a falling target based on a marine environment, the system comprising: determining a current effective survival duration of the falling target according to current attribute information, current position information and a current marine environment temperature perceived by a perception module; transmitting the current effective survival duration to a cloud prediction module through a communication module; predicting a drift trajectory according to the current position information and a predicted marine environment variable corresponding to the current position information by the cloud prediction module; querying a predicted effective survival duration of the falling target at each trajectory point according to a predicted marine environment temperature of the trajectory point in the drift trajectory; and constructing a marine environment temperature and survival duration correspondence table based on the current attribute information and the current effective survival duration. The system can integrate perception technology and communication technology, and accurately estimate the drift trajectory and effective survival duration of the falling target in real time according to the position information and attribute information of the falling target, thereby effectively ensuring the life safety of the falling person or the timely recovery of the object.

Description

A Prediction System and Method for Water-Drop Target Information Based on Marine Environment Technical Field

[0001] This invention relates to the field of search and rescue of targets that have fallen into the water at sea, and more specifically, to a system and method for predicting information on targets that have fallen into the water based on the marine environment. Background Technology

[0002] The marine environment is complex and changeable, with frequent severe weather events such as sea fog, strong winds, and high waves, leading to numerous maritime accidents and casualties. With the rapid development of marine industries such as shipping, marine fisheries, and coastal tourism, maritime activities are becoming increasingly frequent, undoubtedly increasing the probability of maritime accidents. Once an accident occurs, if rescue efforts are not timely or efficient, it will not only pose a significant threat to life but also result in substantial economic losses. Therefore, information such as the safety status, survival time, accident location, and drift trajectory of targets that have fallen into the water (such as people or objects) has become crucial for maritime search and rescue operations.

[0003] However, traditional rescue methods and lifesaving equipment have many limitations. Their functions are relatively limited, unable to obtain effective location and status information of a person who has fallen into the water in a timely manner, nor can they accurately estimate the drift trajectory and effective survival time of the person. This makes it difficult to successfully carry out rescue operations within the golden time frame, thus failing to effectively guarantee the safety of the person in the water or the timely recovery of belongings. From the perspective of the safety of the person in the water, traditional rescue methods and lifesaving equipment clearly have many shortcomings and inconveniences, urgently requiring improvement and innovation. Summary of the Invention

[0004] In view of this, the purpose of this application is to provide a system and method for predicting information on targets falling into the water based on the marine environment. This system integrates sensing and communication technologies to obtain real-time location and attribute information of targets falling into the water, accurately estimating their drift trajectory and effective survival time. This effectively ensures the safety of those who fall into the water and the timely recovery of their belongings.

[0005] In a first aspect, embodiments of this application provide a system for predicting water-falling target information based on the marine environment. The system includes: a terminal device and a cloud prediction module; the terminal device includes a sensing module, a communication module, and a controller module; the controller module is connected to the sensing module and the communication module respectively.

[0006] The sensing module is used to sense the current attribute information and current location information of the target falling into the water, as well as the current ocean ambient temperature in real time; and transmit the current attribute information, the current location information, and the current ocean ambient temperature to the controller module.

[0007] The controller module is used to determine the current effective survival time of the target that fell into the water based on the current attribute information, the current location information, and the current ocean ambient temperature; and to transmit the current location information, the current attribute information, and the current effective survival time to the cloud prediction module through the communication module.

[0008] The cloud-based prediction module is used to predict the predicted drift trajectory of the target that fell into the water based on the current location information and the predicted marine environmental variables corresponding to the current location information; and to query the predicted effective survival time of the target at each trajectory point from the marine environmental temperature and survival time correspondence table based on the predicted marine environmental temperature at each trajectory point in the predicted drift trajectory.

[0009] The ocean environmental temperature and survival time correspondence table is constructed based on the current attribute information and the current effective survival time.

[0010] In one possible implementation, the terminal device further includes a light-emitting module and a sound-emitting module;

[0011] The controller module is also used to generate a distress message from the current location information, the current attribute information, and the current effective survival time; and to send the distress message to the search and rescue personnel through the communication module at a preset frequency.

[0012] The controller module is further configured to determine the corresponding distress color based on the distress message or the rescue feedback information provided by the search and rescue personnel based on the distress message; and to send the distress color to the light-emitting module via the communication module; and to send the distress message to the sound-emitting module.

[0013] The light-emitting module is used to emit light corresponding to the distress signal color;

[0014] The sound-emitting module is used to play the distress message sent by the controller module.

[0015] In one possible implementation, the cloud prediction module is further configured to:

[0016] The real-time drift trajectory, the current attribute information, the current effective survival time, the predicted drift trajectory, and the predicted effective survival time are sent to the search and rescue personnel to guide them in their search and rescue efforts.

[0017] The real-time drift trajectory refers to the trajectory generated based on all the location information of the target that fell into the water, which is acquired in real time by the sensing module.

[0018] In one possible implementation, the sensing module includes a pressure sensor, a heart rate sensor, an infrared sensor, a temperature sensor, and a positioning module.

[0019] The pressure sensor is used to detect the depth of the target falling into the water in the current attribute information in real time.

[0020] The heart rate sensor is used to detect reflected or transmitted light signals of a specific wavelength using photoplethysmography in real time; convert the reflected or transmitted light signals into electrical signals; amplify the electrical signals; and extract the heart rate and blood oxygen data of the target falling into the water from the current attribute information from the amplified electrical signals.

[0021] The infrared sensor is used to detect the body temperature data of the target that fell into the water in the current attribute information in real time;

[0022] The temperature sensor is used to detect the current ocean ambient temperature in real time;

[0023] The positioning module is used to detect the current location information of the target that has fallen into the water in real time.

[0024] In one possible implementation, the communication module includes a first sensing data transmission module and a second sensing data transmission module;

[0025] The first sensing data transmission module is used to transmit the current location information, the current attribute information and the current effective survival time sent by the controller module to the cloud prediction module when the distance between the current location information of the target falling into the water and the seaside is less than or equal to a preset distance.

[0026] The second sensing data transmission module is used to transmit the current location information, the current attribute information, and the current effective survival time sent by the controller module to the cloud prediction module when the distance between the current location information of the target falling into the water and the seashore is greater than a preset distance.

[0027] In one possible implementation, the communication module further includes: an information transmission module;

[0028] The information transmission module is used to generate a target distress message for short message communication from the distress message; and to send the target distress message to the search and rescue personnel.

[0029] The information transmission module is also used to receive rescue feedback information from search and rescue personnel based on the target distress information, and to transmit the rescue feedback information to the controller module;

[0030] The information transmission module is also used to transmit the distress color sent by the controller module to the light-emitting module.

[0031] In one possible implementation, the system further includes: a power supply module;

[0032] The power module is used to supply power to the terminal device after detecting that the target has fallen into the water.

[0033] Secondly, embodiments of this application also provide a method for predicting water-falling target information based on a marine environment. This method is applied to a terminal device in a water-falling target information prediction system for a marine environment as described in any of the first aspects. The method includes:

[0034] The system can perceive the current attribute information and current location information of the target that has fallen into the water, as well as the current ocean temperature, in real time.

[0035] Based on the current attribute information, the current location information, and the current ocean ambient temperature, the current effective survival time of the target that fell into the water is determined; and the current location information, the current attribute information, and the current effective survival time are sent to the cloud prediction module, so that the cloud prediction module can predict the predicted drift trajectory of the target that fell into the water based on the current location information and the predicted ocean ambient variables corresponding to the current location information; the cloud prediction module queries the predicted effective survival time of the target at each trajectory point from the ocean ambient temperature and survival time correspondence table based on the predicted ocean ambient temperature at each trajectory point in the predicted drift trajectory.

[0036] The ocean environmental temperature and survival time correspondence table is constructed based on the current attribute information and the current effective survival time.

[0037] In one possible implementation, the method further includes: generating a distress message using the current location information, the current attribute information, and the current effective survival time; sending the distress message to search and rescue personnel via a communication module at a preset frequency; determining a corresponding distress color based on the distress message or rescue feedback information provided by the search and rescue personnel based on the distress message; emitting light corresponding to the distress color; and playing the distress message.

[0038] In one possible implementation, the real-time sensing of the current attribute information and current location information of the target that has fallen into the water, as well as the current ocean ambient temperature, includes: real-time detection of the water depth of the target in the current attribute information; real-time detection of reflected or transmitted light signals of a specific wavelength light signal using photoplethysmography; conversion of the reflected or transmitted light signals into electrical signals; amplification of the electrical signals; extraction of the heart rate and blood oxygen data of the target in the current attribute information from the amplified electrical signals; real-time detection of the body temperature data of the target in the current attribute information; real-time detection of the current ocean ambient temperature; and real-time detection of the current location information of the target.

[0039] In one possible implementation, sending the current location information, the current attribute information, and the current effective survival time to the cloud prediction module includes:

[0040] When the distance between the current location information of the target that fell into the water and the seashore is less than or equal to a preset distance, the current location information, the current attribute information and the current effective survival time sent by the controller module are transmitted to the cloud prediction module through the first perception data transmission module;

[0041] When the distance between the current location of the target that has fallen into the water and the seashore is greater than a preset distance, the second sensing data transmission module transmits the current location information, the current attribute information, and the current effective survival time sent by the controller module to the cloud prediction module.

[0042] In one possible implementation, the method further includes:

[0043] The information transmission module generates a target distress message for short message communication based on the distress message; the target distress message is then sent to the search and rescue personnel.

[0044] The information transmission module receives rescue feedback information from search and rescue personnel based on the distress message from the target.

[0045] In one possible implementation, the method further includes supplying power to the terminal device via a power module after detecting that the target has fallen into the water.

[0046] Thirdly, embodiments of this application also provide an electronic device, including: a processor, a storage medium, and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, and when the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of the method for predicting information on falling targets based on the marine environment as described in any of the first aspects.

[0047] Fourthly, embodiments of this application also provide a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the method for predicting information on a target falling into the ocean environment based on any one of the first aspects.

[0048] This application provides a system and method for predicting information on targets that have fallen into the water based on the marine environment. The system includes a terminal device and a cloud-based prediction module. The terminal device includes a sensing module, a communication module, and a controller module. The controller module determines the current effective survival time of the target based on the current attribute information, current location information, and current marine environmental temperature sensed by the sensing module. It then transmits the current location information, current attribute information, and current effective survival time to the cloud-based prediction module via the communication module. The cloud-based prediction module predicts the predicted drift trajectory of the target based on the current location information and the corresponding predicted marine environmental variables. It also queries a table corresponding to the marine environmental temperature and survival time for the predicted effective survival time of the target at each trajectory point based on the predicted marine environmental temperature at each point in the predicted drift trajectory. This table is constructed based on the current attribute information and the current effective survival time. This system integrates sensing and communication technologies to obtain real-time location and attribute information of targets that have fallen into the water, accurately estimating their drift trajectory and effective survival time. This effectively ensures the safety of those who fall into the water and the timely recovery of their belongings. Attached Figure Description

[0049] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0050] Figure 1 shows a schematic diagram of the structure of a marine environment target information prediction system provided in an embodiment of this application;

[0051] Figure 2 shows a schematic diagram of the structure of the sensing module provided in an embodiment of this application;

[0052] Figure 3 shows a schematic diagram of the communication module provided in an embodiment of this application;

[0053] Figure 4 shows a flowchart of a method for predicting water-falling target information based on the marine environment provided in an embodiment of this application;

[0054] Figure 5 shows a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0055] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. It should be understood that the accompanying drawings in this application are for illustrative and descriptive purposes only and are not intended to limit the scope of protection of this application. Furthermore, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented according to some embodiments of this application. It should be understood that the operations in the flowcharts may not be implemented in sequence, and steps without logical contextual relationships may be reversed or implemented simultaneously. In addition, those skilled in the art, guided by the content of this application, may add one or more other operations to the flowcharts, or remove one or more operations from the flowcharts.

[0056] Furthermore, the described embodiments are merely some, not all, of the embodiments of this application. The components of the embodiments of this application described and illustrated herein can typically be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of this application provided in the accompanying drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0057] To enable those skilled in the art to utilize the content of this application, and in conjunction with the specific application scenario of "search and rescue of targets that have fallen into the water at sea," the following embodiments are provided. For those skilled in the art, the general principles defined herein can be applied to other embodiments and application scenarios without departing from the spirit and scope of this application. Although this application primarily describes the "search and rescue of targets that have fallen into the water at sea," it should be understood that this is merely an exemplary embodiment.

[0058] It should be noted that the term "comprising" will be used in the embodiments of this application to indicate the presence of the features declared thereafter, but does not exclude the addition of other features.

[0059] Referring to Figure 1, which is a structural schematic diagram of a marine environment target information prediction system provided in an embodiment of this application, the system includes: a terminal device 101 and a cloud prediction module 102; the terminal device 101 includes a sensing module 1011, a communication module 1012 and a controller module 1013; the controller module 1013 is connected to the sensing module 1011 and the communication module 1012 respectively.

[0060] The controller module 1013 includes a processor for executing all steps required by the controller module. At least one compartment is provided on the portable search and rescue equipment or life jacket of the target in the water to house the terminal device. The compartment may be equipped with zippers or buckles to prevent the emergency terminal device from falling out. The terminal device is covered with a waterproof device, such as a waterproof cover.

[0061] The sensing module 1011 is used to sense the current attribute information and current location information of the target falling into the water in real time, as well as the current ocean ambient temperature; and transmit the current attribute information, current location information and current ocean ambient temperature to the controller module 1013.

[0062] In this application's embodiments, the target that falls into the water can be a person or an object. Different targets require different attribute information; for example, a person's attribute information may refer to vital signs, including but not limited to water depth, heart rate, blood oxygen saturation, and body temperature—any key physiological and environmental parameters that directly affect their rescue time (i.e., the remaining time they can survive or continue to float). An object's attribute information includes structural integrity, surface damage, material hardness, buoyancy, immersion time, and other key factors that directly affect its "survival" time (i.e., the remaining time it can be recovered or continue to float). Current attribute information refers to the target's attribute information at the current moment; current location information refers to the target's coordinates at the current moment; and current ocean ambient temperature refers to the surface seawater temperature (in degrees Celsius, °C) at the point corresponding to the target's current location.

[0063] Further, referring to FIG2, which is a schematic diagram of the structure of the sensing module provided in this embodiment, the sensing module 1011 includes a pressure sensor 201, a heart rate sensor 202, an infrared sensor 203, a temperature sensor 204, and a positioning module 205. The pressure sensor 201 is connected to the controller module 1013, the heart rate sensor 202 is connected to the controller module 1013, the infrared sensor 203 is connected to the controller module 1013, the temperature sensor 204 is connected to the controller module 1013, and the positioning module 205 is connected to the controller module 1013.

[0064] It should be noted that the sensing module provided in this application embodiment is only a part of it, and may also include other devices for sensing the attribute information of the target falling into the water. It can be flexibly set according to the actual situation, and there is no limitation here.

[0065] Specifically, pressure sensor 201 is used to detect the water depth of the target in the current attribute information in real time; heart rate sensor 202 is used to detect the reflected or transmitted light signal of a specific wavelength light signal in real time using photoplethysmography; convert the reflected or transmitted light signal into an electrical signal; amplify the electrical signal; and extract the heart rate and blood oxygen data of the target in the current attribute information from the amplified electrical signal; infrared sensor 203 is used to detect the body temperature data of the target in the current attribute information in real time; temperature sensor 204 is used to detect the current ocean ambient temperature in real time; and positioning module 205 is used to detect the current location information of the target in the current attribute information in real time. The positioning module 205 can be a GPS / BeiDou module.

[0066] The controller module 1013 is used to determine the current effective survival time of the target that has fallen into the water based on the current attribute information, current location information and current ocean ambient temperature; and to transmit the current location information, current attribute information and current effective survival time to the cloud prediction module through the communication module.

[0067] In the embodiments of this application, the current effective survival time does not refer to how long the target can survive in a physiological or physical sense, but rather to the "rescue window" during which conditions for successful rescue are still met under the combined effect of "current attribute information, current location information, and current ocean environmental temperature". Once this window is exceeded, even if the target itself has not lost its life or floating ability, it cannot be successfully retrieved due to excessive distance, environmental degradation, or resource depletion. Therefore, the current effective survival time is essentially the last effective time limit for the current implementation and achievement of a rescue operation.

[0068] Specifically, based on the current attribute information, current location information, and current ocean ambient temperature, the current effective survival time of the target that fell into the water is determined, including: inputting the current attribute information, current location information, and current ocean ambient temperature into the duration determination model to obtain the current effective survival time of the target that fell into the water.

[0069] The duration determination model is pre-trained based on historical attribute information, historical location information, and historical ocean ambient temperature from historical rescue cases, as well as the actual effective survival time corresponding to these historical attribute information, historical location information, and historical ocean ambient temperature. The duration determination model is a deep learning-based regression network, consisting of an input layer, a spatiotemporal convolutional layer, a multimodal fusion layer, and a deep residual regression head. The input layer concatenates the current attribute information, current location information, and current ocean ambient temperature into a three-dimensional tensor; the first dimension corresponds to the encoding of the current attribute information, the second dimension to the encoding of the current location information, and the third dimension to the encoding of the current ocean ambient temperature. The spatiotemporal convolutional layer performs spatiotemporal convolution on the second and third dimensions to extract the joint features of the current location information and ocean ambient temperature. The multimodal fusion layer then fuses the current attribute information from the first dimension with the spatiotemporal convolution result after fully connected weighting. The fused features are then input into the deep residual regression head to obtain the previous effective survival time.

[0070] Here, current attribute information, current location information, and current ocean ambient temperature, from three complementary dimensions—"target itself, spatial location, and environmental constraints"—jointly determine "whether it can be rescued and for how long." Therefore, this approach more accurately determines the current effective survival time than a single data source. Its advantages are: current attribute information directly characterizes "how long the target can survive"—higher or lower heart rate / body temperature / blood oxygen levels in humans, or more severe damage and lower buoyancy in objects, result in shorter tolerance times. This allows the model to quantify "life / structural limits" first, avoiding misjudging targets nearing failure as still having a long window of opportunity. Current location information provides real-time "drift trajectory and speed," predicting where the target will drift to in the next few minutes; current location information is spatiotemporally matched with rescue resource deployment to calculate "the fastest time it will take for rescue forces to arrive." Current ocean ambient temperature acts as an environmental accelerator—low temperatures can significantly shorten the human hypothermia limit and also alter the embrittlement of materials and the rate of water ingress; combining current ocean ambient temperature with location information maps the environmental field (temperature gradient, cold water mass) onto the drift path, dynamically correcting the limit time. Therefore, the model uses attributes to define the "upper limit", location to calculate "reachability", and temperature to make a "reduction". The current effective survival time output after the three are combined will neither overestimate the target's own endurance nor underestimate the difficulty of rescue, thereby significantly reducing false alarms and false negatives and improving the utilization rate of the golden window.

[0071] Further, referring to FIG3, which is a schematic diagram of the structure of the communication module provided in the embodiment of this application, the communication module includes a first sensing data transmission module 301 and a second sensing data transmission module 302;

[0072] Specifically, the first sensing data transmission module 301 is used to transmit the current location information, current attribute information, and current effective survival time sent by the controller module to the cloud prediction module when the distance between the current location information of the target falling into the water and the seashore is less than or equal to a preset distance. The second sensing data transmission module 302 is used to transmit the current location information, current attribute information, and current effective survival time sent by the controller module to the cloud prediction module when the distance between the current location information of the target falling into the water and the seashore is greater than a preset distance.

[0073] In this embodiment, the first sensing data transmission module 301 can be a 4G / 5G module, and the second sensing data transmission module 302 can be a satellite module. This application enables the transmission of current location information, current attribute information, and current effective survival time via 4G / 5G at near-shore distances. At offshore distances, it enables satellite transmission of current location information, current attribute information, and current effective survival time via 4G / 5G at near-shore distances.

[0074] Here, the core advantage of adopting the dual-link architecture of "4G / 5G module + satellite module" lies in seamless coverage and communication redundancy across the near and far seas: (1) Optimal cost-efficiency: In the near sea (within the coverage of the base station), the 4G / 5G module is activated first, and the current location information, current attribute information and current effective survival time are uploaded in real time using the public network link with high bandwidth, low cost and low power consumption, which significantly reduces satellite traffic costs and terminal energy consumption. (2) Reliable backup in the far sea: Once the target drifts out of the base station range, the system automatically switches to the satellite module, and can still continue to transmit the same key data back, ensuring that the rescue center does not lose the target in the ocean scenario and achieves seamless extension of communication distance. (3) Redundancy backup and improved success rate: 4G / 5G and satellite are redundant to each other: When the near sea base station is congested or fails, the terminal can immediately activate the satellite link; conversely, when the satellite is blocked or attenuated by rain, it can still switch back to 4G / 5G. The two links are online or hot standby at the same time, which greatly improves the transmission reliability under extreme weather conditions. (4) Data consistency: Regardless of distance, the terminal encapsulates three types of data—"location-attribute-effective survival time"—in a unified format. No re-encoding is required during link switching, ensuring that the information received by the rescue center is always complete and parseable. In summary, this application embodiment, through a dual-module design of "4G / 5G near-shore high bandwidth + satellite far-sea blind-spot-free," balances cost, power consumption, and reliability, truly achieving real-time backhaul of information on targets that have fallen into the water across the entire sea area.

[0075] The cloud-based prediction module 102 is used to predict the drift trajectory of a target that has fallen into the water based on the current location information and the corresponding predicted marine environmental variables. Based on the predicted marine environmental temperature at each trajectory point, it queries the marine environmental temperature-survival duration correspondence table to determine the predicted effective survival duration of the target at each trajectory point. This marine environmental temperature-survival duration correspondence table is constructed based on the current attribute information and the current effective survival duration.

[0076] In this embodiment, marine environmental variables include wind speed, wind direction, surface current velocity, current direction, wave height, wave direction, seawater temperature, salinity, air pressure, and tidal phase. These variables collectively drive the drift model to generate a continuous trajectory sequence (i.e., drift trajectory) of the target falling into the water in a latitude and longitude coordinate system at future times. Specifically, existing techniques such as Kalman filtering can be used to predict the drift trajectory of the target falling into the water based on the current location information and the corresponding predicted marine environmental variables. Furthermore, Table 1 shows the correspondence between marine environmental temperature and survival time provided in this embodiment. Table 1 shows that the "Correspondence Table between Marine Environmental Temperature and Survival Time" stores the effective survival time corresponding to each marine environmental temperature.

[0077]

[0078] Table 1

[0079] Furthermore, in low sea states, the weight of the target and the influence of ocean currents significantly affect its drift trajectory. As the sea state increases, the drift trajectory of the target gradually shifts from being dominated by ocean currents to being dominated by sea winds, with the influence of sea winds becoming increasingly significant. Specifically, a table corresponding to ocean ambient temperature and survival time is constructed through the following steps: From the pre-tested effective survival time impact values ​​of each target under various ocean ambient temperatures and attribute information, the effective survival time impact value corresponding to the current attribute information is selected, obtaining the effective survival time impact value corresponding to each ocean ambient temperature under the current attribute information; the effective survival time impact value corresponding to each ocean ambient temperature is added to the current effective survival time to obtain the effective survival time corresponding to each ocean ambient temperature.

[0080] In addition, the terminal device 101 also includes a light-emitting module 1014 and a sound-emitting module 1015; a controller module 1013; which is also used to generate a distress message based on the current location information, current attribute information, and current effective survival time; and send the distress message to the search and rescue personnel through the communication module at a preset frequency; the controller module 1013 is also used to determine the corresponding distress color based on the distress message or the rescue feedback information fed back by the search and rescue personnel based on the distress message; and send the distress color to the light-emitting module through the communication module; and send the distress message to the sound-emitting module; the light-emitting module 1014 is used to emit light corresponding to the distress color; and the sound-emitting module 1015 is used to play the distress message sent by the controller module.

[0081] In this embodiment, the rescue feedback information may include the time of arrival near the rescue location. Before the arrival time, a color with low power consumption can be used as the distress signal color; upon arrival, a brighter color can be used as the distress signal color. This avoids excessive power consumption that would increase rescue time while ensuring that search and rescue personnel can locate the target in the water.

[0082] For example, the distress message is: the target is at the current location information a, and the current effective survival time under the current attribute information b is 28 hours.

[0083] Here, the communication module 1012 further includes: an information transmission module 303; the information transmission module 303 is used to generate a target distress message for short message communication from the distress message; to send the target distress message to the search and rescue personnel; the information transmission module is also used to receive rescue feedback information from the search and rescue personnel based on the target distress message, and to transmit the rescue feedback information to the controller module; the information transmission module 303 is also used to transmit the distress color sent by the controller module to the light emission module 1014.

[0084] Here, the information transmission module 303 can be the first sensing data transmission module 301 and the second sensing data transmission module 302, or it can be a Beidou module or an AIS module. The light-emitting module can be an LED light or other lighting fixtures, and the sound-emitting module can be a speaker, etc.

[0085] The cloud prediction module 102 is also used to: send the real-time drift trajectory, current attribute information, the current effective survival time, the predicted drift trajectory and the predicted effective survival time to the search and rescue personnel to guide them in the search and rescue; wherein, the real-time drift trajectory refers to the trajectory generated based on all location information of the target that has fallen into the water, which is obtained in real time by the sensing module.

[0086] Furthermore, the system also includes a power module 1016; the power module 1016 is connected to the controller module 1013 and is used to supply power to the terminal device 101 after detecting that the target has fallen into the water. The power module 1016 includes a battery pack (for powering and charging the entire terminal device), a water-sensitive switch (for controlling the power on / off of the battery pack), a water ingress detection unit (for automatically turning on the water-sensitive switch and immediately starting the power supply of the battery pack after detecting that the terminal device has fallen into the water), and a power adapter (for controlling the charging of the battery pack).

[0087] This system integrates satellite navigation communication technology, AIS automatic identification communication technology, and intelligent sensing technology to acquire real-time accident location and vital signs information of targets that have fallen into the water. Simultaneously, it uses marine environmental forecasting technology to predict marine environmental information such as sea temperature, sea fog, wind, and waves, predicting the drift trajectory of the target. Furthermore, it calculates the effective survival time of the target along the drift trajectory using a survival calculation method based on marine environmental attributes. Through AIS / 4G / 5G communication and satellite communication, it achieves real-time transmission of marine environmental information, predicted drift trajectories, and effective survival time information over short and long distances. This transforms traditional passive search and rescue into active search and rescue, enabling effective interaction between the target and maritime rescue, and providing real-time monitoring of the target's drift trajectory and effective survival time, thereby improving the success rate of search and rescue operations.

[0088] Based on the same inventive concept, this application also provides a method for predicting falling targets based on the ocean environment, which corresponds to the ocean environment-based falling target information prediction system. Since the principle of the device in this application is similar to the ocean environment-based falling target information prediction system described above, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0089] Referring to Figure 4, a flowchart illustrating a method for predicting water-falling target information based on a marine environment according to an embodiment of this application is shown. This method is applied to a terminal device in a marine environment water-falling target information prediction system as described in any of the first aspects. The method includes:

[0090] S401. Real-time perception of the current attribute information and current location information of the target falling into the water, as well as the current ocean environmental temperature.

[0091] S402. Based on the current attribute information, current location information, and the current ocean environmental temperature, determine the current effective survival time of the target that fell into the water; and send the current location information, current attribute information, and current effective survival time to the cloud prediction module, so that the cloud prediction module can predict the predicted drift trajectory of the target that fell into the water based on the current location information and the predicted ocean environmental variables corresponding to the current location information; the cloud prediction module can query the predicted effective survival time of the target at each trajectory point from the ocean environmental temperature and survival time correspondence table based on the predicted ocean environmental temperature of each trajectory point in the predicted drift trajectory.

[0092] The table corresponding to marine environmental temperature and survival time is constructed based on current attribute information and current effective survival time.

[0093] This method integrates sensing and communication technologies to obtain real-time location and attribute information of targets falling into the water, accurately estimating their drift trajectory and effective survival time. This effectively ensures the safety of those who fall into the water and facilitates the timely recovery of their belongings.

[0094] As shown in Figure 5, an electronic device 500 provided in this application embodiment includes: a processor 501, a memory 502, and a bus. The memory 502 stores machine-readable instructions executable by the processor 501. When the electronic device is running, the processor 501 communicates with the memory 502 via the bus. The processor 501 executes the machine-readable instructions to perform the steps of the above-described method for predicting information on falling targets based on the marine environment.

[0095] Specifically, the memory 502 and processor 501 mentioned above can be general-purpose memory and processor, without any specific limitations. When the processor 501 runs the computer program stored in the memory 502, it can execute the above-mentioned method for predicting information on falling targets based on the marine environment.

[0096] Corresponding to the above-described method for predicting water-falling target information based on the marine environment, this application embodiment also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, performs the steps of the above-described method for predicting water-falling target information based on the marine environment.

[0097] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the method embodiments, and will not be repeated here. In the several embodiments provided in this application, it should be understood that the disclosed systems, devices, and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. Furthermore, multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection can be through some communication interfaces; the indirect coupling or communication connection of devices or modules can be electrical, mechanical, or other forms.

[0098] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0099] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0100] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the information processing methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, ROM, RAM, magnetic disks, or optical disks.

[0101] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the technical scope disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A system for predicting falling targets based on marine environment information, characterized in that, The system includes: a terminal device and a cloud prediction module; the terminal device includes a sensing module, a communication module, and a controller module; the controller module is connected to the sensing module and the communication module respectively; the sensing module is used to sense the current attribute information, current location information, and current ocean ambient temperature of the target in real time; and transmit the current attribute information, current location information, and current ocean ambient temperature to the controller module; the controller module is used to determine the current effective survival time of the target in the water based on the current attribute information, current location information, and current ocean ambient temperature; and communicate... The communication module transmits the current location information, the current attribute information, and the current effective survival time to the cloud prediction module. The cloud prediction module is used to predict the predicted drift trajectory of the target that fell into the water based on the current location information and the corresponding marine environmental variables. Based on the predicted marine environmental temperature at each trajectory point in the predicted drift trajectory, the module queries the predicted effective survival time of the target at each trajectory point from the marine environmental temperature and survival time correspondence table. The marine environmental temperature and survival time correspondence table is constructed based on the current attribute information and the current effective survival time.

2. The marine environment-based target information prediction system according to claim 1, characterized in that, The terminal device also includes a light-emitting module and a sound-emitting module; the controller module is further configured to generate a distress signal from the current location information, the current attribute information, and the current effective survival time; and send the distress signal to search and rescue personnel via a communication module at a preset frequency. The controller module is further configured to determine a corresponding distress color based on the distress message or the rescue feedback information provided by the search and rescue personnel based on the distress message; and to send the distress color to the light-emitting module via the communication module; and to send the distress message to the sound-emitting module; the light-emitting module is configured to emit light corresponding to the distress color; and the sound-emitting module is configured to play the distress message sent by the controller module.

3. The marine environment-based target information prediction system according to claim 1, characterized in that, The cloud-based prediction module is further configured to: send the real-time drift trajectory, the current attribute information, the current effective survival time, the predicted drift trajectory, and the predicted effective survival time to the search and rescue personnel to guide them in their search and rescue efforts; wherein, the real-time drift trajectory refers to the trajectory generated based on all location information of the target that has fallen into the water, which is obtained in real time by the sensing module.

4. The marine environment-based target information prediction system according to claim 1, characterized in that, The sensing module includes a pressure sensor, a heart rate sensor, an infrared sensor, a temperature sensor, and a positioning module. The pressure sensor is used to detect the water depth of the target in the current attribute information in real time. The heart rate sensor is used to detect the reflected or transmitted light signal of a specific wavelength light signal in real time using the photoplethysmography method; convert the reflected or transmitted light signal into an electrical signal; amplify the electrical signal; and extract the heart rate data and blood oxygen data of the target in the current attribute information from the amplified electrical signal. The infrared sensor is used to detect the body temperature data of the target that fell into the water in the current attribute information in real time; The temperature sensor is used to detect the current ocean ambient temperature in real time; The positioning module is used to detect the current location information of the target that has fallen into the water in real time.

5. The marine environment-based target information prediction system according to claim 1, characterized in that, The communication module includes a first sensing data transmission module and a second sensing data transmission module. The first sensing data transmission module is used to transmit the current location information, the current attribute information, and the current effective survival time sent by the controller module to the cloud prediction module when the distance between the current location information of the target falling into the water and the seashore is less than or equal to a preset distance. The second sensing data transmission module is used to transmit the current location information, the current attribute information, and the current effective survival time sent by the controller module to the cloud prediction module when the distance between the current location information of the target falling into the water and the seashore is greater than a preset distance.

6. The marine environment-based target information prediction system according to claim 2, characterized in that, The communication module further includes: an information transmission module; the information transmission module is used to generate a target distress message for short message communication from the distress message; send the target distress message to the search and rescue personnel; the information transmission module is also used to receive rescue feedback information from the search and rescue personnel based on the target distress message, and transmit the rescue feedback information to the controller module; the information transmission module is also used to transmit the distress color sent by the controller module to the light emission module.

7. The marine environment-based target information prediction system according to any one of claims 1 to 6, characterized in that, The system also includes a power module; the power module is used to supply power to the terminal device after detecting that the target has fallen into the water.

8. A method for predicting water-falling target information based on marine environment, characterized in that, This method is applied to a terminal device in a marine environment target information prediction system as described in any one of claims 1 to 7. The method includes: real-time sensing of the current attribute information and current location information of the target, as well as the current marine ambient temperature; determining the current effective survival time of the target based on the current attribute information, the current location information, and the current marine ambient temperature; and sending the current location information, the current attribute information, and the current effective survival time to a cloud prediction module, so that the cloud prediction module predicts the predicted drift trajectory of the target based on the current location information and the corresponding marine environmental variables; the cloud prediction module queries the predicted effective survival time of the target at each trajectory point from a marine ambient temperature-survival time correspondence table based on the predicted marine ambient temperature at each trajectory point in the predicted drift trajectory; wherein the marine ambient temperature-survival time correspondence table is constructed based on the current attribute information and the current effective survival time.

9. An electronic device, characterized in that, include: The device includes a processor, a storage medium, and a bus. The storage medium stores machine-readable instructions executable by the processor. When the electronic device is running, the processor communicates with the storage medium via the bus, and the processor executes the machine-readable instructions to perform the steps of the method for predicting waterborne target information based on the marine environment as described in claim 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, performs the steps of the method for predicting waterborne target information based on the marine environment as described in claim 8.

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