Intelligent life jacket and method for determining state of person falling into water

Abstract

The application discloses an intelligent life jacket and a method for determining the state of a person falling into water. The intelligent life jacket comprises a life jacket, a swimming suit, at least one fiber-shaped triboelectric sensor arranged on the body of the swimming suit, and a circuit module connected with the at least one fiber-shaped triboelectric sensor. The swimming suit serves as an inner lining and is connected with the life jacket. The fiber-shaped triboelectric sensor transmits a triboelectric signal generated due to changes in human body movements to the circuit module. The circuit module processes the triboelectric signal and sends it to a background server. Finally, a falling person posture recognition model on the background server outputs a corresponding falling person state recognition result based on the received electrical signal. The application can determine the physical state of a person falling into water by monitoring the movements made by the human body in real time, thereby improving the survival probability of the person falling into water.

Description

Technical Field

[0001] This application belongs to the technical field of water rescue equipment, and in particular relates to an intelligent life jacket and a method for determining the status of a person who has fallen into the water. Background Technology

[0002] With the booming development of the marine industry, more and more people are devoting themselves to marine construction and transportation. However, marine weather is extremely changeable, making maritime accidents very easy to occur. Moreover, due to the harsh marine environment and extremely low water temperatures, the survival rate of those who fall into the water is extremely low. In the process of survival, the greatest threat to those who fall into the water is low temperature. According to statistics from the International Maritime Organization, 80% of maritime accident casualties are caused by hypothermia due to prolonged immersion in cold seawater.

[0003] Current life jackets focus on rapid inflation and providing heat for warmth, but they cannot monitor or provide feedback on the physical condition of a person who has fallen into the water. This makes it difficult for rescue teams to obtain information about the person's physical condition and develop a reasonable rescue plan. Summary of the Invention

[0004] The purpose of this application is to provide an intelligent life jacket and a method for determining the status of a person who has fallen into the water. This method can determine the physical status of a person who has fallen into the water by monitoring their movements in real time, thereby increasing the chances of survival for the person who has fallen into the water.

[0005] In a first aspect, this application provides an intelligent life jacket, including a life jacket, a swimsuit, at least one fibrous triboelectric sensor disposed on the swimsuit body, and a circuit module connected to the at least one fibrous triboelectric sensor, wherein the swimsuit is connected to the life jacket as an inner lining;

[0006] The fibrous triboelectric sensor transmits the triboelectric signal generated by changes in human body movement to the circuit module;

[0007] The circuit module processes the triboelectric signal and sends it to the backend server.

[0008] In one possible implementation, the collar and back of the swimsuit are connected to the life jacket via a zipper structure.

[0009] In one possible implementation, the at least one fibrous triboelectric sensor is located at at least one position on the limbs and both shoulders of the swimsuit.

[0010] In one possible implementation, the circuit module includes a signal processing module and a communication module;

[0011] The signal processing module is used to filter, amplify, and perform analog-to-digital conversion on the triboelectric signal.

[0012] The communication module is used to send the electrical signal corresponding to the processed triboelectric signal to the backend server.

[0013] In one possible implementation, the at least one fibrous triboelectric sensor is connected to the circuit module via a waterproof shielded wire.

[0014] In one possible implementation, the life jacket further includes a water seal device disposed outside the circuit module, the water seal device comprising a water seal tank and a water seal material layer that is tightly fitted to the water seal tank.

[0015] In one possible implementation, the fibrous triboelectric sensor consists of an inner core and a shell, the coaxial core-shell structure of which can form the contact separation space required for triboelectricity, the inner core being composed of an electrode material and a dielectric material covering the electrode material, and the shell being composed of an electrode material and a water-sealing material coated on its outer layer.

[0016] Secondly, this application provides a method for determining the status of a person who has fallen into the water, the method comprising:

[0017] The electrical signal is obtained by processing the triboelectric signal from at least one fibrous triboelectric sensor sent by the circuit module of the smart life jacket.

[0018] The electrical signal is input into a pre-trained drowning person state recognition model, the waveform feature value of the electrical signal is extracted, and it is compared with the waveform feature value corresponding to the preset human posture.

[0019] The human posture corresponding to the waveform feature value of the electrical signal is determined based on the comparison results;

[0020] Based on the human posture corresponding to the waveform feature value of the electrical signal, the state of the person who fell into the water is determined and used as the output result of the model.

[0021] In one possible implementation, determining the state of the person who fell into the water based on the human posture corresponding to the waveform feature value of the electrical signal includes:

[0022] The human body postures corresponding to the waveform feature values ​​of the electrical signal within the set sampling time interval are matched with a set of human body postures corresponding to the preset state of the drowning person.

[0023] The status of the person who fell into the water is determined based on the matching results.

[0024] In one possible implementation, the human posture includes swimming posture, distress posture, different trembling postures corresponding to different degrees of trembling, and static posture, and the state of the person who fell into the water includes mild hypothermia, moderate hypothermia, and severe hypothermia.

[0025] In one possible implementation, the waveform characteristic values ​​include waveform, frequency, and amplitude.

[0026] Thirdly, this application provides a device for determining the status of a person who has fallen into the water, the device comprising:

[0027] A receiving module is used to receive an electrical signal obtained by processing the triboelectric signal of at least one fibrous triboelectric sensor sent by the circuit module of the smart life jacket.

[0028] The feature comparison module is used to input the electrical signal into a pre-trained drowning person state recognition model, extract the waveform feature values ​​of the electrical signal, and compare them with the waveform feature values ​​corresponding to the preset human posture.

[0029] An attitude determination module is used to determine the human posture corresponding to the waveform feature value of the electrical signal based on the comparison result;

[0030] The status output module is used to determine the status of the person who fell into the water based on the human posture corresponding to the waveform feature value of the electrical signal and use it as the output result of the model.

[0031] Fourthly, embodiments of this application provide a device for determining the status of a person who has fallen into the water, including at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform a method for determining the status of a person who has fallen into the water as described in any of the second aspects of this application.

[0032] Fifthly, embodiments of this application also provide a computer-readable storage medium that, when the instructions in the computer-readable storage medium are executed by a processor of a terminal device, enables the terminal device to perform the method for determining the state of a person who has fallen into the water as described in any of the second aspects of this application.

[0033] The technical solutions provided by the embodiments of this application bring at least the following beneficial effects:

[0034] This application provides an intelligent life jacket and a method for determining the state of a person who has fallen into the water. It utilizes a fibrous triboelectric sensor mounted on the life jacket to collect triboelectric signals generated by changes in human movement in real time. By analyzing these signals, it achieves real-time monitoring of the actions taken by the person in the water and determines their state based on these actions. Real-time determination of the person's state helps rescue teams develop appropriate rescue plans, thereby increasing the chances of survival. Furthermore, the fibrous triboelectric sensor is not only inexpensive but also reduces the size of the life jacket due to its lack of external power supply. Attached Figure Description

[0035] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the embodiments of this application will be briefly introduced below. Obviously, the drawings introduced below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 A schematic diagram of a smart life jacket provided in an embodiment of this application;

[0037] Figure 2 This is a schematic cross-sectional view of the fibrous triboelectric sensor provided in an embodiment of this application;

[0038] Figure 3 This is a schematic diagram of signal transmission provided in an embodiment of this application;

[0039] Figure 4 A flowchart of a method for determining the status of a person who has fallen into the water, provided in an embodiment of this application;

[0040] Figure 5 A schematic diagram illustrating the correspondence between waveforms and human postures provided in embodiments of this application;

[0041] Figure 6 A schematic diagram of a device for determining the status of a person who has fallen into the water, provided in an embodiment of this application;

[0042] Figure 7 This is a schematic diagram of a device for determining the status of a person who has fallen into the water, provided in an embodiment of this application. Detailed Implementation

[0043] 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. The described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0044] With the booming development of the marine industry, more and more people are devoting themselves to marine construction and transportation. However, marine weather is extremely changeable, making maritime accidents very easy to occur. Moreover, due to the harsh marine environment and extremely low water temperatures, the survival rate of those who fall into the water is extremely low. In the process of survival, the greatest threat to those who fall into the water is low temperature. According to statistics from the International Maritime Organization, 80% of maritime accident casualties are caused by hypothermia due to prolonged immersion in cold seawater.

[0045] However, current lifesaving equipment is often too large and complex, which does not meet the principle of making lifesaving equipment as simple and easy to carry as possible. At the same time, current life jackets focus on rapid inflation and providing heat and warmth, and cannot monitor and provide feedback on the body condition of the person who has fallen into the water. It is difficult for rescue teams to obtain the body condition of the person who has fallen into the water and formulate a reasonable rescue plan.

[0046] In view of the above problems, this application provides an intelligent life jacket and a method for determining the state of a person who has fallen into the water. By using a fibrous triboelectric sensor installed on the life jacket, the method collects triboelectric signals generated by changes in human body movements in real time. By analyzing the triboelectric signals, the method can monitor the actions made by the person who has fallen into the water in real time and determine the state of the person based on these actions. By determining the state of the person who has fallen into the water in real time, the method can help the rescue team to formulate a suitable rescue plan, thereby increasing the chances of the person being rescued. At the same time, the fibrous triboelectric sensor is not only inexpensive, but its characteristic of not requiring an external power supply also reduces the size of the life jacket.

[0047] like Figure 1 The diagram shown is a schematic representation of a smart life jacket provided in an embodiment of this application. (Refer to...) Figure 1 The intelligent life jacket includes a life jacket 10, a swimsuit 20, at least one fibrous triboelectric sensor 30 disposed on the body of the swimsuit 20, and a circuit module 40 connected to the at least one fibrous triboelectric sensor 30. The swimsuit 20 is connected to the life jacket 10 as an inner lining.

[0048] The fibrous triboelectric sensor 30 is a self-powered sensor capable of converting mechanical energy into electrical energy. When a person falls into the water, they will exhibit different postures depending on their state, such as swimming, a distress signal, or trembling. Taking swimming as an example, when a person swims, their limbs and shoulders will move, applying varying degrees of force to the fibrous triboelectric sensor 30. Under the action of force, the fibrous triboelectric sensor 30 will undergo deformations such as shaking, bending, twisting, stretching, and compression, causing the two friction layers to separate. Under the principles of contact electrification and electrostatic induction, the fibrous triboelectric sensor 30 will generate triboelectric signals. Furthermore, because different postures of the person falling into the water will cause different forces on the fibrous triboelectric sensor 30, different postures will cause the fibrous triboelectric sensor 30 to generate triboelectric signals with different characteristics.

[0049] like Figure 2 The image shown is a cross-sectional schematic diagram of the fibrous triboelectric sensor provided in an embodiment of this application.

[0050] Reference Figure 2The fibrous triboelectric sensor 30 provided in this application consists of two parts: an inner core 301 and a shell 302. The coaxial core-shell structure formed by the inner core 301 and the shell 302 can create the contact separation space required for triboelectricity. The inner core 301 and the shell 302 of the fibrous triboelectric sensor 30 are mainly fabricated using three materials: electrode material, dielectric material, and silicone. The fabrication method of the fibrous triboelectric sensor 30 described in this application is described below.

[0051] Step 1: Making the inner core

[0052] like Figure 2 As shown, the inner core 301 is composed of electrode material and dielectric material coated on its outer surface, wherein electrode material refers to a material that can conduct electricity and dielectric material refers to a non-conductive insulating material.

[0053] When making the inner core 301, firstly, multiple strands of electrode material are twisted into one using a winding machine, and a dielectric material solution is evenly applied to the outer layer of wound electrode material. After the solution evaporates, the electrode material with the dielectric material evenly applied is annealed under set annealing conditions to obtain the inner core of the fibrous triboelectric sensor.

[0054] Optionally, the dielectric material is polyvinylidene fluoride trifluoroethylene P (VDF-TrFE), the electrode material is conductive fiber, and the annealing conditions are vacuum conditions and annealing at 120°C for two hours.

[0055] Optionally, the dielectric material solution is a P(VDF-TrFE) / dimethylformamide (DMF) solution, and the concentration of the P(VDF-TrFE) / DMF solution is 16%.

[0056] It should be noted that during the above manufacturing process, the dielectric material solution needs to be applied evenly to the wound electrode material multiple times in a fume hood, repeating 3-5 times until the dielectric material completely covers the conductive fibers, before annealing.

[0057] It should be noted that, in the embodiments of this application, the electrode material used in preparing the fibrous triboelectric sensor can be, in addition to conductive fiber, silver-plated fiber, carbon nanotube or carbon nanowire, or other conductive electrode material. The dielectric material used in preparing the fibrous triboelectric sensor can be P(VDF-TrFE), or can be replaced with polydimethylsiloxane PDMS, or other electrically insulating material. This application does not limit this.

[0058] Step 2: Make the shell seal

[0059] like Figure 2 As shown, the shell 302 is composed of electrode material and a water-sealing material such as silicone coated on its outer layer.

[0060] When making the shell 302, the electrode material is evenly wound around the flexible tube, and silicone is evenly applied to the electrode material wound around the outer layer of the flexible tube until the silicone is evenly attached to the electrode material and shaped. Then the flexible tube is pulled out to obtain the shell of the fibrous triboelectric sensor.

[0061] Step 3: Assemble the inner core and the outer shell.

[0062] The inner core 301 obtained in step 1 is placed inside the shell 302 made in step 2. After the inner core 301 is led out using a waterproof shielding wire, silicone is evenly applied to both ends of the shell 302. After the silicone at both ends of the shell 302 is shaped, a fibrous triboelectric sensor is obtained.

[0063] It should be noted that the aforementioned flexible tube can be a polypropylene flexible tube. When manufacturing the housing 302, the flexible tube allows for a convenient and quick connection between the inner core 301 and the housing 302 in the fibrous triboelectric sensor 30. Figure 2 The gap shown.

[0064] Optionally, in this embodiment, silicone with a hardness of 30 is selected for waterproofing. Furthermore, to ensure that the triboelectric signal generated by the fibrous triboelectric sensor 30 can be safely and reliably transmitted to the circuit module 40, a waterproof shielded cable is used for connection. Figure 1 At least one fibrous triboelectric sensor 30 and a circuit module 40 are included.

[0065] In one or more embodiments, the smart life jacket provided in this application further includes a water seal device disposed outside the circuit module 40. The water seal device includes a water seal box and a water seal material layer that is tightly fitted to the water seal box. The water seal material layer can be a waterproof material layer such as a silicone layer.

[0066] Optionally, when manufacturing the water seal device in this application, the required cubic mold is first prepared using an acrylic sheet, and then a water seal box of a specific shape is printed using a 3D printer. The circuit module 40 is placed in the water seal box, and then the water seal box is placed in the mold. Silicone is injected into the mold, and after the silicone solidifies, it is removed to complete the construction of the water seal device.

[0067] Refer again Figure 1 After at least one fibrous triboelectric sensor 30 and a circuit module 40 placed in the water seal device are manufactured according to the manufacturing method of the aforementioned embodiment, these components need to be integrated onto the swimsuit 20.

[0068] Optional integration methods are as follows:

[0069] First, the components are sewn onto the swimsuit 20 with waterproof fabric, covering the exposed waterproof shielding wires; the water seal device for placing the circuit module 40 is located at the chest, and at least one fibrous triboelectric sensor 30 is distributed on the limbs based on the Body Area Network (BAN) principle.

[0070] Secondly, a zipper structure is sewn onto the swimsuit 20 to connect it to the life jacket 10. Specifically, the zippers are sewn onto the collar and back of the swimsuit 20. Using zipper structures on the collar and back of the swimsuit 20 to connect it to the life jacket 10 ensures a tight connection between the two.

[0071] Refer again Figure 1 In the smart life jacket provided in this application, at least one fibrous triboelectric sensor is located at at least one position in the limbs and both shoulders of the swimsuit.

[0072] Optionally, the smart life jacket provided in this application has six fibrous triboelectric sensors 30, which are respectively installed on the limbs and both shoulders of the swimsuit 20. It can be seen that, through... Figure 1 The smart life jacket provided in this application contains six fibrous triboelectric sensors 30, which can acquire triboelectric signals corresponding to the movements of the limbs and shoulders of a person who has fallen into the water.

[0073] It should be noted that, in one or more embodiments, the number of fibrous triboelectric sensors 30 on the smart life jacket provided in this application is not limited to six. They can be installed on other positions on the swimsuit 20 corresponding to different parts of the human body and used to acquire the triboelectric signals generated by the movements of different parts of the human body in the fibrous triboelectric sensors 30. This application does not limit this.

[0074] The smart life jacket in this application uses a fibrous triboelectric sensor 30 to acquire triboelectric signals generated by changes in human movement, and then transmits the acquired triboelectric signals to a circuit module 40. The circuit module 40 processes the triboelectric signals and sends them to a backend server.

[0075] like Figure 3 The above is a schematic diagram of signal transmission provided in an embodiment of this application. In this application, the circuit module 40 needs to process the triboelectric signal received from at least one fibrous triboelectric sensor 30 into a corresponding digital signal, and then send the electrical signal corresponding to the digital signal to the background server for further processing. Therefore, referring to... Figure 3 The circuit module 40 in this application includes a signal processing module 401 and a communication module 402.

[0076] The signal processing module 401 includes a signal amplifier, a filter, and an analog-to-digital converter, used to filter, amplify, and convert the received triboelectric signal to obtain the digital signal corresponding to the triboelectric signal.

[0077] The communication module 402 is used to send the electrical signal corresponding to the digital signal obtained from the processed triboelectric signal to the pre-trained drowning person posture recognition model in the background server. Finally, the drowning person posture recognition model outputs the corresponding drowning person status recognition result based on the received electrical signal.

[0078] It should be noted that the aforementioned communication module 402 may be a Bluetooth module or a WiFi module, or other communication devices that can be used to transmit information, and this application does not limit it in this regard.

[0079] like Figure 4 The diagram shows a flowchart of the method for determining the state of a person who has fallen into the water, provided in an embodiment of this application. After processing the triboelectric signal corresponding to the actions of the person who has fallen into the water and sending the resulting electrical signal to the backend server, the pre-trained posture recognition model of the person who has fallen into the water on the backend server will, based on the following... Figure 4 The method shown outputs the corresponding drowning victim status recognition result, the method including:

[0080] Step 41: Receive the electrical signal obtained by processing the triboelectric signal of at least one fibrous triboelectric sensor sent by the circuit module of the smart life jacket.

[0081] Step 42: Input the electrical signal into the pre-trained drowning victim state determination model, extract the waveform feature value of the electrical signal, and compare it with the waveform feature value corresponding to the preset human posture.

[0082] Step 43: Determine the human posture corresponding to the waveform feature value of the electrical signal based on the comparison result;

[0083] In one or more embodiments, the waveform feature values ​​include waveform, frequency, and amplitude; the human posture includes swimming posture, distress posture, different trembling postures corresponding to different degrees of trembling, and static posture. The distress posture refers to a well-known distress gesture in the field of water rescue, known as the Help gesture. Different trembling postures corresponding to different degrees of trembling include mild trembling, moderate trembling, severe trembling, and trembling cessation. Different trembling postures of a person in the water will cause at least one fibrous triboelectric sensor on the smart life jacket to generate different triboelectric signals. Thus, the person in the water state recognition model can determine the human posture of the person in the water by analyzing the waveform feature values ​​of the received electrical signals.

[0084] It should be noted that the above-mentioned model for identifying drowning victims is based on neural network learning. (Referring again...) Figure 3The aforementioned model for determining a person who has fallen into the water comprises four parts: feature extraction, feature value comparison, determination of human posture, and determination of human state. Specifically, the feature extraction function extracts the waveform feature values ​​of the received electrical signal; the feature value comparison function compares the extracted waveform feature values ​​with the waveform feature values ​​corresponding to the preset human posture of the person who has fallen into the water; and the human posture determination function determines the human posture of the person who has fallen into the water based on the aforementioned comparison results.

[0085] Step 44: Based on the human posture corresponding to the waveform feature value of the electrical signal, determine the state of the person who fell into the water and use it as the output result of the model.

[0086] As a feasible implementation method, determining the state of a person who has fallen into the water based on the human posture corresponding to the waveform feature value of the electrical signal includes:

[0087] The human body postures corresponding to the waveform feature values ​​of the electrical signal within the set sampling time interval are matched with a set of human body postures corresponding to the preset state of the drowning person.

[0088] The status of the person who fell into the water is determined based on the matching results.

[0089] like Figure 5 The diagram shown illustrates the correspondence between waveforms and human postures provided in this application embodiment. In this application, the human posture of the drowning victim determined by the drowning victim determination model corresponds to the human posture at each sampling time point, and the drowning victim's state is determined by a series of human postures within a set sampling time interval.

[0090] For example, the body posture of a person who has fallen into the water can be their swimming movements, as shown in the example. Figure 5 The human posture corresponding to the sampling point between 0.5 and 1.0 s is that the hands are turned inward, while a series of human postures between the sampling time interval of 0.0 and 2.25 s correspond to the state of a swimmer who has fallen into the water.

[0091] For example, in this application, the human posture of the person who has fallen into the water can also be the trembling posture of the person who has fallen into the water. Different trembling postures of the person who has fallen into the water correspond to different states of the person who has fallen into the water, including different states of hypothermia.

[0092] In one or more embodiments, the three tremor postures described above—mild tremor, severe tremor, and cessation of tremor—correspond to the three hypothermia states: mild hypothermia, moderate hypothermia, and severe hypothermia, respectively. Therefore, referring again... Figure 3After determining the trembling posture of the person who fell into the water using the model, the human body state determination function matches a series of human body postures corresponding to the waveform feature values ​​of the electrical signal within a set sampling time interval with a series of trembling postures corresponding to the hypothermia state of the person who fell into the water. The hypothermia state of the person who fell into the water is determined based on the matching result as the output result of the model.

[0093] It should be noted that the reason for choosing the above four human postures—swimming posture, distress posture, different trembling postures corresponding to different degrees of trembling, and static posture—is that different human postures are manifested in different stages of hypothermia in a person who has fallen into the water.

[0094] Immediately after falling into the water, the person will swim to a relatively safe location, where they are still in a healthy state with a normal body temperature. Once in a safe spot, they will assume the Help posture, which helps maintain a stable body temperature and allows them to signal for help. After some time in the water, the seawater will cool their body, causing symptoms such as slight shivering and increased breathing rate, indicating mild hypothermia. As time goes on, hypothermia worsens, body temperature drops further, and symptoms include severe shivering, increased urination, and muscle incoordination, indicating moderate hypothermia. When the person remains submerged for an extended period and their body temperature drops below 33 degrees Celsius, symptoms such as confusion and cessation of shivering appear, indicating severe hypothermia. Therefore, rescue teams can develop appropriate rescue plans and prepare suitable equipment based on the determined hypothermia level to improve the person's chances of survival.

[0095] Based on the intelligent life jacket and the method for determining the state of a person in the water provided in this application, a fibrous triboelectric sensor is installed on the life jacket to collect triboelectric signals generated by changes in human movement in real time. By analyzing the triboelectric signals, the actions made by the person in the water can be monitored in real time, and the state of the person in the water can be determined based on the actions made by the person in the water. By determining the state of the person in the water in real time, it can help the rescue team to formulate a suitable rescue plan, thereby increasing the chances of the person in the water being rescued. At the same time, the fibrous triboelectric sensor is not only inexpensive, but its characteristic of not requiring an external power supply also reduces the size of the life jacket.

[0096] Based on the same inventive concept, embodiments of this application also provide a device for determining the status of a person who has fallen into the water, such as... Figure 6 As shown, the device includes:

[0097] The receiving module 601 is used to receive an electrical signal obtained by processing the triboelectric signal of at least one fibrous triboelectric sensor sent by the circuit module of the smart life jacket.

[0098] The feature comparison module 602 is used to input the electrical signal into a pre-trained drowning person state determination model, extract the waveform feature values ​​of the electrical signal, and compare them with the waveform feature values ​​corresponding to the preset human posture.

[0099] The posture determination module 603 is used to determine the human posture corresponding to the waveform feature value of the electrical signal based on the comparison result.

[0100] The status output module 604 is used to determine the status of the person who fell into the water based on the human posture corresponding to the waveform feature value of the electrical signal and use it as the output result of the model.

[0101] It should be noted that the specific implementation methods of the above modules can be referred to the foregoing embodiments, and this application will not repeat them here.

[0102] Based on the same inventive concept, this application also provides a device 700 for determining the status of a person who has fallen into the water, such as... Figure 7 As shown, it includes at least one processor 702; and a memory 701 communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the above-described method for determining the status of a person who has fallen into the water.

[0103] The memory 701 is used to store programs. Specifically, the program may include program code, which includes computer operation instructions. The memory 701 may be volatile memory, such as random-access memory (RAM); it may also be non-volatile memory, such as flash memory, hard disk drive (HDD), or solid-state drive (SSD); or it may be any one or a combination of the above-mentioned volatile and non-volatile memory types.

[0104] The processor 702 can be a central processing unit (CPU), a network processor (NP), or a combination of a CPU and an NP. It can also be a hardware chip. This hardware chip can be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The PLD can be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a generic array logic (GAL), or any combination thereof.

[0105] Based on the same inventive concept, this application provides a computer program medium, wherein the computer storage medium stores a computer program, and the computer program is used to cause the computer to execute the above-described method for determining the state of a person who has fallen into the water.

[0106] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described device and module can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0107] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, apparatuses, or modules, and may be electrical, mechanical, or other forms.

[0108] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0109] Furthermore, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium.

[0110] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A smart lifejacket, characterized in that, The invention includes a life jacket, a swimsuit, at least one fibrous triboelectric sensor disposed on the swimsuit body, and a circuit module connected to the at least one fibrous triboelectric sensor, wherein the swimsuit is connected to the life jacket as an inner lining. The fibrous triboelectric sensor transmits the triboelectric signal generated by changes in human body movement to the circuit module; The circuit module processes the triboelectric signal and sends it to the backend server; The fibrous triboelectric sensor consists of an inner core and a shell. The coaxial core-shell structure formed by the inner core and the shell creates the contact separation space required for triboelectricity. The inner core is composed of an electrode material and a dielectric material covering the electrode material. The shell is composed of an electrode material and a water-sealing material coated on its outer layer.

2. The life jacket according to claim 1, characterized in that The collar and back of the swimsuit are connected to the life jacket via a zipper structure.

3. The life jacket of claim 1, wherein, The at least one fibrous triboelectric sensor is located at at least one position on the limbs and both shoulders of the swimsuit.

4. The life jacket of claim 1, wherein, The circuit module includes a signal processing module and a communication module; The signal processing module is used to filter, amplify, and perform analog-to-digital conversion on the triboelectric signal. The communication module is used to send the electrical signal corresponding to the processed triboelectric signal to the backend server.

5. The life jacket according to claim 1, characterized in that, The at least one fibrous triboelectric sensor is connected to the circuit module via a waterproof shielded wire.

6. The life jacket according to any one of claims 1-5, characterized in that, The life jacket also includes a water seal device disposed outside the circuit module, the water seal device comprising a water seal box and a water seal material layer that is tightly fitted to the water seal box.

7. A method for determining the state of a person who has fallen into the water, characterized in that, include: The circuit module of the smart life jacket as described in any one of claims 1-6 receives an electrical signal obtained by processing the triboelectric signal of at least one fibrous triboelectric sensor. The electrical signal is input into a pre-trained drowning person state recognition model, the waveform feature value of the electrical signal is extracted, and it is compared with the waveform feature value corresponding to the preset human posture. The human posture corresponding to the waveform feature value of the electrical signal is determined based on the comparison results; Based on the human posture corresponding to the waveform feature value of the electrical signal, the state of the person who fell into the water is determined and used as the output result of the model.

8. The method according to claim 7, characterized in that, Determining the state of a person who has fallen into the water based on the human posture corresponding to the waveform feature values ​​of the electrical signal includes: The human body postures corresponding to the waveform feature values ​​of the electrical signal within the set sampling time interval are matched with a set of human body postures corresponding to the preset state of the drowning person. The status of the person who fell into the water is determined based on the matching results.

9. The method according to claim 7 or 8, characterized in that, The human postures include swimming postures, distress postures, different trembling postures corresponding to different degrees of trembling, and static postures. The state of the person who fell into the water includes mild hypothermia, moderate hypothermia, and severe hypothermia.

10. The method according to claim 7 or 8, characterized in that, The waveform characteristic values ​​include waveform, frequency, and amplitude.

11. A device for determining the status of a person who has fallen into the water, characterized in that, include: A receiving module is configured to receive an electrical signal obtained by processing a triboelectric signal from at least one fibrous triboelectric sensor, sent by the circuit module of the smart life jacket as described in any one of claims 1-6. The feature comparison module is used to input the electrical signal into a pre-trained drowning person state recognition model, extract the waveform feature values ​​of the electrical signal, and compare them with the waveform feature values ​​corresponding to the preset human posture. An attitude determination module is used to determine the human posture corresponding to the waveform feature value of the electrical signal based on the comparison result; The status output module is used to determine the status of the person who fell into the water based on the human posture corresponding to the waveform feature value of the electrical signal and use it as the output result of the model.

12. A device for determining the status of a person who has fallen into the water, characterized in that, The method includes at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method as described in any one of claims 7-10.

13. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 7-10.

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