Foldable posture self-sensing integrated sensor based on moisture power generation and preparation method thereof

Abstract

The invention provides a foldable posture self-sensing integrated sensor based on moisture power generation and a preparation method thereof, the sensor comprises a top cover, a sensor layer and a flexible support base, and the flexible support base is used for mounting the top cover and the sensor layer; the sensor layer sequentially comprises a metal conductive layer, an upper non-woven fabric layer, a gel layer, a lower non-woven fabric layer and a flexible electrode layer in the direction from the top cover to the flexible supporting base, and all the layers are tightly combined through a stacked structure. The upper-layer non-woven fabric and the lower-layer non-woven fabric are treated by using a graphene oxide solution to form a graphene oxide layer; and the graphene oxide layer interacts with moisture to generate an electric signal. The device is convenient to mount and maintain, and can still run stably after being folded for multiple times; electric signals are generated through moisture reaction, external power supply is not needed, and low power consumption and environmental adaptability are achieved; due to the lightweight design, the system is suitable for wearable equipment, smart home and other scenes, and a reliable solution is provided for posture and humidity monitoring in a complex environment.

Description

Technical Field

[0001] The present invention relates to the field of sensors, and in particular to a foldable posture self-sensing integrated sensor based on moisture power generation and a preparation method thereof. Background Art

[0002] In recent years, the rapid development of flexible electronic devices and wearable devices has put forward higher requirements on sensor performance, especially in terms of flexibility, lightweight, low power consumption and multi-functional integration. However, traditional attitude sensors, such as those based on gyroscopes, accelerometers and magnetometers, usually rely on external power supplies, which increases power consumption and volume, and has limited performance in flexible applications.

[0003] At the same time, wet gas power generation technology, as a new energy harvesting technology, has gradually attracted the attention of researchers. It uses specific materials to interact with environmental humidity to generate electrical signals through electrochemical reactions. It has the advantages of no external power supply, low power consumption and environmental sensitivity. This feature makes wet gas power generation technology show great potential in the design of self-powered sensors. However, wet gas power generation sensors are currently mainly used for humidity detection, and have not yet been designed for self-sensing in combination with posture changes. Therefore, how to combine the principle of wet gas power generation with posture sensing technology is an innovative problem that needs to be solved.

[0004] In summary, with the development of flexible electronics and Internet of Things technology, the posture perception and monitoring of devices in different usage states have become increasingly important. However, existing sensors are prone to signal distortion when detecting complex bends and multiple posture changes, and traditional sensors rely on external power supplies, which increases the size and complexity of the system. In addition, when traditional sensors are installed on flexible devices or irregular surfaces, they are easily separated from the device surface due to their rigid structure, affecting their detection performance and increasing maintenance and replacement costs.

[0005] The present invention proposes a foldable posture self-sensing integrated sensor based on moisture power generation and a preparation method thereof, so as to solve many problems existing in the prior art in posture monitoring in flexible devices and wearable devices. Summary of the invention

[0006] The purpose of the present invention is to propose a foldable posture self-sensing integrated sensor based on moisture power generation and a preparation method thereof, wherein the device generates different voltage signals in different bending or folding states to realize accurate posture recognition; the sensor does not require external power supply, has a simple structure, is light and flexible, and is suitable for low-power consumption sensing applications in flexible electronics, wearable devices and environmental monitoring; this design provides a new solution for self-powered posture sensing devices, which has broad application prospects.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A foldable posture self-sensing integrated sensor based on moisture power generation includes a top cover, a sensor layer and a flexible support base, wherein the flexible support base is used to install the top cover and the sensor layer; the sensor layer includes a metal conductive layer, an upper non-woven fabric, a gel layer, a lower non-woven fabric, and a flexible electrode layer in sequence along the direction from the top cover to the flexible support base, and each layer is tightly combined with a stacked structure; the upper non-woven fabric and the lower non-woven fabric are treated with a graphene oxide solution to form a graphene oxide layer; the graphene oxide layer generates an electrical signal by interacting with moisture.

[0009] Preferably, the top cover is a frame-type structure, and the outer frame of the frame-type structure is slightly larger than the sensor layer, so as to limit the sensor layer on the flexible support base while ensuring that part of the surface of the sensor layer is exposed to the environment to contact moisture in the environment.

[0010] The preparation method of the foldable posture self-sensing integrated sensor based on moisture power generation includes the following steps:

[0011] S1. Mixing and stirring graphene oxide powder and plasma water, and adding a dispersant to ensure that the graphene oxide is evenly dispersed and a graphene oxide solution is formed;

[0012] S2, mixing the gel and plasma water in a ratio of 6:160, and letting it stand until the gel and water are completely fused to form a gel solution;

[0013] S3, cutting the dried non-woven fabric into squares and placing them in a dry environment for a period of time; classifying the dried non-woven fabric into upper non-woven fabric and lower non-woven fabric in a 1:1 ratio,

[0014] S4, immersing the lower non-woven fabric in step S3 into the gel solution for a period of time to ensure that the non-woven fabric completely absorbs the gel, then taking out the non-woven fabric and letting it stand;

[0015] S5, placing the lower non-woven fabric treated in S4 back into the gel solution, and repeating S4 to complete the second dyeing;

[0016] S6, placing the lower layer of non-woven fabric treated in S5 into a heating furnace for drying;

[0017] S7, uniformly coating the metal layer on the surface of the upper non-woven fabric in step S3;

[0018] S8, placing the upper non-woven fabric coated with the metal layer after the treatment in S7 into a heating furnace for drying to ensure that the metal coating is firmly attached;

[0019] S9, soaking all the non-woven fabrics treated by S6 and S8 in a graphene oxide solution at room temperature, taking out the non-woven fabrics after soaking and letting them stand, and then repeating the above soaking and standing operations to complete multiple soaking of the graphene oxide solution;

[0020] S10, using flexible materials to make a flexible electrode layer, ensuring that the flexible electrode layer maintains good conductivity in a folded state;

[0021] S11, laminating the upper non-woven fabric and the lower non-woven fabric treated by S9 one by one, and then laminating the flexible electrode layer with the lower non-woven fabric to ensure that the different functional layers are closely combined, and using a small amount of gel solution as an adhesive to enhance the adhesion between the layers;

[0022] S12, assembling the bonded sensor layer on the flexible support base, and then covering it with a cover;

[0023] S13, placing the bonded sensor as a whole into a hot pressing device for hot pressing treatment to form a stable and firm structure between the layers and complete shaping.

[0024] Preferably, the flexible support base is made of TPU material; a raised square mounting frame is provided on the flexible support base, and stepped slots for slidingly inserting the sensor layer and the top cover are provided on the inner walls on both sides of the mounting frame to achieve limited installation of the sensor layer and the top cover.

[0025] Preferably, the preparation of the gel is to combine three monomers, thermoplastic polyurethane TPU, polyethylene glycol PEG and polyacrylate PAA, into a copolymer through ultraviolet light-induced free radical copolymerization. The copolymer not only has excellent mechanical strength, but also has high flexibility and scalability, ensuring that the sensor maintains stable mechanical properties and moisture responsiveness during repeated folding and unfolding; wherein the hydrophilic group composed of polyethylene glycol (PEG) is used to enhance the gel layer's ability to adsorb water molecules and ensure the sensitivity of moisture power generation response; the flexible chain segment composed of polyacrylate (PAA) gives the gel layer good elasticity and foldability, allowing it to adapt to various complex bends and posture changes.

[0026] Preferably, during the preparation of the graphene oxide solution, the temperature is controlled at 30-40° C. to facilitate the polymerization reaction, and the reaction time is controlled at 3 to 5 hours to ensure the uniformity of material dispersion and efficient humidity-sensitive response performance.

[0027] Preferably, the thickness of the gel layer on the surface of the lower non-woven fabric is controlled by dynamically adjusting the drying temperature and the interlayer pressure; so as to adapt to the multi-curvature structure of the flexible device surface and improve the moisture response sensitivity, and ensure the stability of the electrical performance of the sensor in the folded state.

[0028] Preferably, the graphene oxide layer is a multi-layer gradient structure in which the thickness of each layer gradually decreases. During multiple impregnations, the concentration gradient of the graphene oxide solution is gradually adjusted to sequentially form multiple graphene oxide functional layers with gradually decreasing thicknesses, so as to enhance the moisture conduction path and improve the stability of electrical signal output.

[0029] Preferably, the dispersant in the graphene oxide suspension is at least one of a bio-based dispersant, a zwitterionic surfactant or a block copolymer dispersant to improve the dispersion stability and adsorption efficiency of the material and optimize the response performance of the moisture sensitive layer.

[0030] Preferably, the surface of the gel layer is also modified by ion exchange treatment and nano-coating to enhance its adhesion to the metal layer and improve the efficiency of interlayer electrical signal conduction.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. The present invention uses the principle of wet gas power generation and the interaction between water molecules, graphene oxide and gel layer to convert the energy in the process of water molecule adsorption and desorption into electrical energy. When moisture interacts with the graphene oxide layer, it will induce the dissociation of the functional groups of the active sites on the surface of the material, forming an ion concentration difference and generating charge migration within the layer. Due to the nano-confinement effect of the material and the optimization of the ion path, positive and negative charges migrate in different directions, driving the generation of electrical energy. This wet electric effect is highly reversible, and no polluting byproducts are generated during the wet gas cycle.

[0033] 2. The present invention has the advantage of being self-powered and does not produce any polluting by-products. The working principle of the present invention also includes constructing a functional gradient structure inside the material layer, such as forming a water content gradient by arranging the interlayers of graphene oxide. When moisture enters the sensing layer, the ion freedom in the gel layer increases, and the cations migrate to the low concentration area along the potential gradient, while the negative ions are confined in the material skeleton due to the conjugated structure. When the cations diffuse through the electrode and are connected to the load circuit, a stable electrical signal output is formed. After moisture desorption, the cations return to their original position under the action of the material electric field, completing a cycle. This technology is not only environmentally friendly and green, but also improves the self-powering ability of the sensor by capturing the energy of dynamic changes in moisture.

[0034] 3. The foldable posture self-sensing integrated sensor of the present invention achieves excellent performance in complex environments by tightly combining the graphene oxide layer, the metal conductive layer, the gel layer and the flexible electrode layer. The flexible electrode layer ensures efficient signal conduction in the folded state, and the application of the flexible support base enables the sensor to stably adapt to a variety of curved surfaces and dynamic bending environments. The sensor is not only suitable for underwater and high-humidity environments, but also can maintain stable electrical signal output in a variety of bending postures. Multiple dipping, coating and drying cycles are used in the preparation process to fully optimize the material's conductivity and moisture-sensitive response performance.

[0035] 4. Different from traditional sensors, the present invention adopts a multi-layer gradient structure between the gel layer and the graphene oxide layer to ensure a gradual transition between layers and improve the efficiency of the moisture conduction path. The fitting design between the flexible electrode layer and other functional layers not only makes the sensor's electrical signal output more stable, but also enables it to adapt to the surface installation requirements of devices with different curvatures. Even in the case of complex posture changes, the sensor can still maintain high sensitivity and measurement accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] Figure 1 is a flow chart of the operation of the sensor of the present invention;

[0037] Figure 2 It is an exploded view of the three-dimensional model of the sensor of the present invention;

[0038] Figure 3 It is an assembly diagram of the three-dimensional model of the sensor of the present invention;

[0039] Figure 4 is a two-dimensional plane diagram of the sensor of the present invention;

[0040] Figure 5 is a two-dimensional plan view of the sensor layer of the present invention;

[0041] Figure 6 It is a three-dimensional model diagram of the sensor layer of the present invention;

[0042] Figure 7 is a two-dimensional plan view of the flexible support base of the present invention;

[0043] Figure 8 It is a three-dimensional model diagram of the flexible support base of the present invention;

[0044] Fig. 9 It is the flexible electrode layer structure and signal flow diagram of the present invention;

[0045] Fig.10 It is a schematic diagram of the installation of the sensor cover of the present invention;

[0046] Fig.11 is a flow chart of the sensor preparation of the present invention;

[0047] Fig.12 It is a graph showing the data changes of different postures of the sensor of the present invention;

[0048] Fig.13 This is a graph showing the continuous bending data changes of the sensor of the present invention. DETAILED DESCRIPTION

[0049] The following is combined with Figure 1-13 , the technical solution of the present invention is specifically described.

[0050] See also Figure 2The present invention provides a foldable posture self-sensing integrated sensor based on moisture power generation. From top to bottom, they are: top cover, metal conductive layer, upper non-woven fabric, gel layer, lower non-woven fabric, flexible electrode layer and flexible support base. The upper non-woven fabric and the lower non-woven fabric are treated with graphene oxide solution to form a graphene oxide layer; each layer adopts a modular buckle design, which is easy to install and maintain, ensuring that it can still operate stably after multiple foldings, and is tightly combined with a stacked structure. The metal conductive layer is used for electrical signal collection and transmission. The graphene oxide layer is a hygroscopic material responsible for reacting with moisture to generate electrical signals. The gel layer not only enhances the moisture adsorption capacity, but also gives the sensor good flexibility and ductility. The flexible electrode layer ensures that good signal conduction performance is maintained in the folded state. The flexible support base provides mechanical support to ensure that the sensor adapts to the installation requirements of curved or dynamic equipment, so that it can flexibly adapt to different equipment surfaces and various complex posture changes, and ensure stable signal output. The structural design is simple and flexible, ensuring the stability of the sensor in different posture changes, effectively reducing external pressure interference, and improving the reliability and consistency of electrical signal output.

[0051] The top cover is a frame-type structure, and the outer frame of the frame-type structure is slightly larger than the sensor layer, so as to limit the sensor layer on the flexible support base and ensure that part of the surface of the sensor layer is exposed to the environment to contact the moisture in the environment.

[0052] The sensor preparation method comprises the following steps:

[0053] S1. Mixing graphene oxide powder with plasma water, adding dispersant, and stirring for 2 hours to ensure that the graphene oxide is evenly dispersed;

[0054] S2, mixing the gel and plasma water in a ratio of 6:160, and letting it stand until the gel and water are completely fused;

[0055] S3, cutting the non-woven fabric into squares and placing them in a dry environment for a period of time; classifying the dried non-woven fabric into upper non-woven fabric and lower non-woven fabric in a 1:1 ratio,

[0056] S4. Use tweezers to immerse the lower non-woven fabric into the gel solution for 8 minutes to ensure that the non-woven fabric completely absorbs the gel;

[0057] S5, putting the lower non-woven fabric treated in S4 back into the solution, and repeating the above operation to complete the second dip-dyeing;

[0058] S6, placing the lower nonwoven fabric treated in S5 into a heating furnace and drying it at 70°C for 30 minutes;

[0059] S7, coating the metal layer evenly on the surface of the upper non-woven fabric;

[0060] S8, placing the upper non-woven fabric coated with the metal layer into a heating furnace and drying it at 80°C for 45 minutes to ensure that the metal coating is firmly attached;

[0061] S9, soak all non-woven fabrics in the S1 solution at room temperature for 10 minutes, take out the non-woven fabrics and let them stand for 10 minutes, and repeat the above operation to complete multiple impregnation of the graphene oxide solution;

[0062] S10. Use flexible materials to make a flexible electrode layer to ensure that it can maintain good conductivity in the folded state;

[0063] S11, laminating the upper non-woven fabric and the lower non-woven fabric processed by S9 one by one, and then laminating the flexible electrode layer and the lower non-woven fabric to ensure that the different functional layers are closely combined, and using a small amount of gel solution as an adhesive to further enhance the adhesion between the layers;

[0064] S12, assembling the bonded sensor layer on a flexible support base; the base is made of TPU material and then covered with a cover;

[0065] S13, placing the bonded sensor as a whole into a 70°C hot pressing device for 30 minutes to form a stable and firm structure between the layers and to fix it.

[0066] The step S4 is specifically as follows:

[0067] S41, using tweezers to immerse a portion of the nonwoven fabric in the classification into the gel solution;

[0068] S43, using tweezers to hold the non-woven fabric and immerse it in the solution prepared in S2 for 8 minutes;

[0069] S44, taking out the non-woven fabric and leaving it to stand for ten minutes so that the solution can be completely absorbed by the non-woven fabric;

[0070] S45, taking out the nonwoven fabric and proceeding to step S5;

[0071] The step S9 is specifically as follows:

[0072] S91, taking out the dried non-woven fabric and letting it stand to cool to room temperature;

[0073] S92, pick up all non-woven fabrics with tweezers and soak them in the room temperature solution prepared in S1 for 10 minutes;

[0074] S93, taking out the non-woven fabric and leaving it to stand for 10 minutes so that the solution can be completely absorbed by the non-woven fabric;

[0075] S94, take out the non-woven fabric and proceed to step S10.

[0076] The flexible support base is provided with a raised square installation frame, and the inner walls on both sides of the installation frame are provided with stepped slots for slidingly inserting the sensor layer and the top cover to achieve limited installation of the sensor layer and the top cover.

[0077] The preparation of the gel is to combine three monomers, thermoplastic polyurethane TPU, polyethylene glycol PEG and polyacrylate PAA, into a copolymer through ultraviolet light-induced free radical copolymerization. The copolymer not only has excellent mechanical strength, but also has high flexibility and scalability, ensuring that the sensor maintains stable mechanical properties and moisture responsiveness during repeated folding and unfolding; the hydrophilic group composed of polyethylene glycol (PEG) is used to enhance the gel layer's ability to adsorb water molecules and ensure the sensitivity of moisture power generation response; the flexible chain segment composed of polyacrylate (PAA) gives the gel layer good elasticity and foldability, allowing it to adapt to various complex bends and posture changes.

[0078] During the preparation of the graphene oxide solution, the temperature is controlled at 30-40° C. to facilitate the polymerization reaction, and the reaction time is controlled at 3 to 5 hours to ensure the uniformity of material dispersion and efficient humidity-sensitive response performance.

[0079] The thickness of the gel layer on the surface of the lower non-woven fabric is controlled by dynamically adjusting the drying temperature and interlayer pressure; to adapt to the multi-curvature structure of the flexible device surface and improve the moisture response sensitivity, and to ensure the stability of the sensor's electrical performance in the folded state.

[0080] The graphene oxide layer is a multi-layer gradient structure in which the thickness of each layer gradually decreases. During multiple impregnations, the concentration gradient of the graphene oxide solution is gradually adjusted to sequentially form multiple graphene oxide functional layers with gradually decreasing thicknesses, so as to enhance the moisture conduction path and improve the stability of electrical signal output.

[0081] The dispersant in the graphene oxide suspension is at least one of a bio-based dispersant, a zwitterionic surfactant or a block copolymer dispersant to improve the dispersion stability and adsorption efficiency of the material and optimize the response performance of the moisture sensitive layer.

[0082] The surface of the gel layer is also modified by ion exchange treatment and nano-coating to enhance its adhesion to the metal layer and improve the efficiency of interlayer electrical signal conduction.

[0083] The working process of the foldable posture self-sensing integrated sensor based on moisture power generation consists of the following steps:

[0084] A1. First, attach the sensor's flexible support base to the key position of the device to ensure that it can effectively capture posture changes. During the installation process, adhesive should be used to make the sensor fit tightly to the device surface to prevent the sensor from falling off due to bending or vibration of the device. After installation, the sensor needs to be slightly adjusted to ensure that the layers of material can maintain stable contact;

[0085] A2. Expose the sensor to a humid environment or slightly humidify it to start the moisture power generation unit. The moisture interacts with the graphene oxide layer and gel layer in the sensor, inducing ion migration and starting to generate initial electrical signals. During this process, the sensor output signal will gradually stabilize, preparing for external equipment to collect signals;

[0086] A3. After starting the device, the sensor begins to monitor the device's posture changes in real time, such as bending angle, unfolding state, and dynamic movement. The flexible electrode layer works together with the gel layer to convert these posture changes into electrical signals, and the wet gas power generation unit provides energy to support data transmission. The sensor ensures a quick response to each posture change and provides a high-sensitivity output for device posture monitoring;

[0087] A4. When the device is running, the sensor continuously records data, monitors the device posture changes, and outputs electrical signals to an external data acquisition device. The external device is responsible for receiving and processing the sensor electrical signals and converting them into data for device posture analysis. The sensor itself does not have internal data processing capabilities, but its design ensures stable transmission of electrical signals, which facilitates efficient reading by the acquisition system;

[0088] A5. When the device stops moving, the sensor will stop outputting electrical signals and wait for the moisture in the moisture power generation unit to gradually desorb. When the device is in standby mode, the sensor enters a low-energy mode, and the electrical signal output can be restored immediately after the device is restarted;

[0089] The foldable posture self-sensing integrated sensor of the present invention can output stable electrical signals in various posture changes through moisture power generation and multi-layer flexible structure design. The sensor adopts a modular structure, which makes it highly adaptable and can maintain a good fit on the surface of equipment with different curvatures. In addition, by combining the flexible electrode layer with the support base, the sensor can adapt to complex environments and ensure efficient signal transmission. In a humid environment, the sensor can operate continuously for 40 minutes, which is suitable for posture monitoring tasks in complex environments, and provides reliable support for flexible electronic devices and wearable systems.

Claims

1. A foldable posture self-sensing integrated sensor based on moisture power generation, characterized in that: It includes a top cover, a sensor layer and a flexible support base, wherein the flexible support base is used to install the top cover and the sensor layer; the sensor layer includes a metal conductive layer, an upper non-woven fabric, a gel layer, a lower non-woven fabric, and a flexible electrode layer in sequence along the direction from the top cover to the flexible support base, and each layer is tightly combined with a stacked structure; the upper non-woven fabric and the lower non-woven fabric are treated with a graphene oxide solution to form a graphene oxide layer; the graphene oxide layer generates an electrical signal by interacting with moisture.

2. The foldable posture self-sensing integrated sensor based on moisture power generation according to claim 1 is characterized in that: The top cover is a frame-type structure, and the outer frame of the frame-type structure is slightly larger than the sensor layer, so as to limit the sensor layer on the flexible support base and ensure that part of the surface of the sensor layer is exposed to the environment to contact the moisture in the environment.

3. The method for preparing the foldable posture self-sensing integrated sensor based on moisture power generation according to claim 1 is characterized in that: The steps include: S1. Mixing and stirring graphene oxide powder and plasma water, and adding a dispersant to ensure that the graphene oxide is evenly dispersed and a graphene oxide solution is formed; S2, mixing the gel and plasma water in a ratio of 6:160, and letting it stand until the gel and water are completely fused to form a gel solution; S3, cutting the dried non-woven fabric into squares and placing them in a dry environment for a period of time; classifying the dried non-woven fabric into upper non-woven fabric and lower non-woven fabric in a 1:1 ratio, S4, immersing a portion of the lower non-woven fabric of step S3 into the gel solution for a period of time to ensure that the non-woven fabric completely absorbs the gel, then taking out the non-woven fabric and letting it stand; S5, placing the lower non-woven fabric treated in S4 back into the gel solution, and repeating the S4 operation to complete the second dip-dyeing; S6, placing the lower layer of non-woven fabric treated in S5 into a heating furnace for drying; S7, uniformly coating the metal layer on the surface of the upper non-woven fabric in step S3; S8, placing the upper non-woven fabric coated with the metal layer after the treatment in S7 into a heating furnace for drying to ensure that the metal coating is firmly attached; S9, soaking all the non-woven fabrics treated by S6 and S8 in a graphene oxide solution at room temperature, taking out the non-woven fabrics after soaking and letting them stand, and then repeating the above-mentioned soaking and standing operations to complete multiple soaking of the graphene oxide solution; S10, using flexible materials to make a flexible electrode layer, ensuring that the flexible electrode layer maintains good conductivity in a folded state; S11, laminating the upper non-woven fabric and the lower non-woven fabric treated by S9 one by one, and then laminating the flexible electrode layer with the lower non-woven fabric to ensure that the different functional layers are closely combined, and using a small amount of gel solution as an adhesive to enhance the adhesion between the layers; S12, assembling the bonded sensor layer on the flexible support base, and then covering it with a cover; S13, placing the bonded sensor as a whole into a hot pressing device for hot pressing treatment to form a stable and firm structure between the layers and complete shaping.

4. The method for preparing the foldable attitude self-sensing integrated sensor based on moisture power generation according to claim 2 is characterized in that: The flexible support base is made of TPU material; a raised square installation frame is provided on the flexible support base, and stepped slots for slidingly inserting the sensor layer and the top cover are provided on the inner walls on both sides of the installation frame to achieve limited installation of the sensor layer and the top cover.

5. The method for preparing the foldable posture self-sensing integrated sensor based on moisture power generation according to claim 2 is characterized in that: The preparation of the gel is to combine three monomers, thermoplastic polyurethane TPU, polyethylene glycol PEG and polyacrylate PAA, into a copolymer through a free radical copolymerization reaction initiated by ultraviolet light.

6. The method for preparing the foldable attitude self-sensing integrated sensor based on moisture power generation according to claim 2 is characterized in that: During the preparation of the graphene oxide solution, the temperature is controlled at 30-40° C. to facilitate the polymerization reaction, and the reaction time is controlled at 3 to 5 hours to ensure the uniformity of material dispersion and efficient humidity-sensitive response performance.

7. The method for preparing the foldable posture self-sensing integrated sensor based on moisture power generation according to claim 2, characterized in that: The thickness of the gel layer on the surface of the lower non-woven fabric is controlled by dynamically adjusting the drying temperature and the interlayer pressure.

8. The method for preparing the foldable posture self-sensing integrated sensor based on moisture power generation according to claim 2 is characterized in that: The graphene oxide layer is a multi-layer gradient structure in which the thickness of each layer gradually decreases. During multiple impregnations, the concentration gradient of the graphene oxide solution is gradually adjusted to sequentially form multiple graphene oxide functional layers with gradually decreasing thicknesses, so as to enhance the moisture conduction path and improve the stability of electrical signal output.

9. The method for preparing the foldable posture self-sensing integrated sensor based on moisture power generation according to claim 2, characterized in that: The dispersant in the graphene oxide suspension is at least one of a bio-based dispersant, a zwitterionic surfactant or a block copolymer dispersant to improve the dispersion stability and adsorption efficiency of the material and optimize the response performance of the moisture sensitive layer.

10. The sensor according to claim 2, characterized in that: The surface of the gel layer is also modified by ion exchange treatment and nano-coating to enhance its adhesion to the metal layer and improve the efficiency of interlayer electrical signal conduction.

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