Multifunctional portable winch system based on multi-mode energy collection and conversion technology

Abstract

The invention provides a multifunctional portable winch system based on a multi-mode energy collection and conversion technology. The system comprises a winch, a multi-mode energy collection module, an intelligent energy management module, an intelligent motor control module and a multifunctional application module. A gradient adjusting mechanism based on pulling force is introduced, and the mechanism is not only applied in the energy recovery process, but also effectively applied in the energy distribution stage. The tension change of the heavy object is monitored in real time through the tension sensor, and the system can intelligently adjust the strength of energy recovery and release according to different operation stages (such as the initial stage of pulling the heavy object and the stage of moving the heavy object). Meanwhile, the system can finely distribute electric power resources according to tension changes, optimal distribution and use of energy in the heavy object pulling stage and the heavy object moving stage are ensured, energy waste is avoided, and the system efficiency is improved.

Description

Technical Field

[0001] The present invention relates to a portable winch system, specifically a multifunctional portable winch system based on multimodal energy harvesting and conversion technology. This system is primarily used in outdoor operations, exploration, emergency rescue, and other fields. By efficiently capturing and converting mechanical and thermal energy, it provides a self-sufficient power supply and integrates multiple functional modules to meet the diverse needs of users in different scenarios. Background Art

[0002] Traditional winch systems mainly rely on mechanical operations, have low energy utilization efficiency, and lack support for multi-functional applications. In scenarios such as outdoor operations, exploration, or emergency rescue, users not only require the winch to have core mechanical functions, but also hope that the system can provide multi-functional applications such as lighting, emergency power supply, and communication. The existing system is unable to efficiently utilize the excess kinetic energy and thermal energy generated during operation, and is also unable to adaptively adjust the energy management strategy according to environmental changes and user needs, resulting in waste of resources and inconvenience in operation. In order to meet these challenges, the present invention introduces multimodal energy harvesting and efficient conversion technology, comprehensively utilizes multiple energy forms, and combines it with an intelligent energy management module to greatly improve the energy utilization rate and functional adaptability of the system. Summary of the Invention

[0003] The present invention provides a multifunctional portable winch system based on multimodal energy harvesting and conversion technology, and the technical solution adopted is as follows:

[0004] A multifunctional portable winch system based on multimodal energy harvesting and conversion technology, comprising a winch, a multimodal energy harvesting module, an intelligent energy management module, an intelligent motor control module, and a multifunctional application module;

[0005] The winch is connected to an external power supply, and the multimodal energy collection module is used to collect the mechanical energy and thermal energy generated by the winch operation in real time and convert them into electrical energy. The multimodal energy collection module is connected to the intelligent energy management module. The intelligent energy management module is used to store the electrical energy converted by the multimodal energy collection module, and calculate the optimal energy distribution strategy according to the current needs of each module and the battery status, and provide electrical energy for the operation of other modules according to the optimal energy distribution strategy; the intelligent motor control module is used to detect the tension on the winch, calculate the optimal motor speed in real time, and control the motor speed;

[0006] The multifunctional application module includes a lighting module, an emergency power supply module and a wireless communication module.

[0007] The present invention also proposes a control method for the multifunctional portable winch system, comprising: when the winch starts a pulling operation, the multimodal energy collection module collects the mechanical energy and thermal energy generated by the winch operation in real time, and converts the collected energy into electrical energy and stores it in the intelligent energy management module;

[0008] The intelligent energy management module dynamically distributes power to the intelligent motor control module and multi-function application module based on the power requirements of each module and the remaining stored power;

[0009] The intelligent motor control module combines the changes in the pulling force on the winch with a machine learning model to calculate the optimal motor speed and dynamically adjust it;

[0010] The multifunctional application module can activate the emergency power supply function when the external power supply is interrupted, turn on the lighting when the ambient light is insufficient, and realize data interaction with the outside world through wireless communication.

[0011] Compared with the prior art, the present invention has the following beneficial effects:

[0012] Efficient energy recovery and conversion: Through the multimodal energy harvesting device, the present invention realizes the comprehensive capture and efficient conversion of mechanical energy and thermal energy during the winch operation process, greatly improving energy utilization and reducing resource waste.

[0013] Intelligent Energy Management: The intelligent energy management module uses advanced adaptive algorithms and gradient control to monitor energy status in real time and dynamically adjust energy allocation strategies to ensure stable operation and efficient power supply of the system in different usage scenarios.

[0014] Diversified functional modules: The system integrates multifunctional modules such as high-efficiency LED lighting, emergency power supply and wireless communication to meet the diverse needs of users in various scenarios such as outdoor operations, exploration or emergency rescue.

[0015] Highly portable and adaptable: The entire system is compact and easy to carry. It can also be flexibly configured and expanded according to environmental changes and actual user needs, which improves the system's application range and portability.

[0016] Stable and reliable communication capabilities: The wireless communication module supports multi-band Wi-Fi and Bluetooth communications, ensuring the stability and reliability of data transmission and providing strong support for users' communication needs in complex environments.

[0017] Environmentally friendly and sustainable development: The system achieves self-sufficient energy supply through multimodal energy harvesting technology, reduces dependence on external power sources, reduces carbon emissions, and meets the requirements of sustainable development.

[0018] Easy maintenance: The system adopts a modular design, with each module operating independently without interfering with each other, making maintenance and repair easier. The intelligent energy management module has a fault diagnosis function that can promptly detect and resolve system failures, improving system reliability and stability.

[0019] Cost-effectiveness: Through efficient energy recovery and management, it reduces dependence on traditional power sources and lowers operating costs. The intelligent energy management module extends the service life of batteries and other key components by optimizing energy distribution, reducing maintenance and replacement costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0021] Figure 1 Schematic diagram of the system structure of the present invention;

[0022] Figure 2 It is a schematic diagram of the overall process of the present invention;

[0023] Figure 3 and Figure 4 This is a schematic diagram of the installation position of the thermoelectric converter of the present invention;

[0024] Figure 5 and Figure 6 This is a schematic diagram of the installation position of the electromagnetic converter of the present invention;

[0025] Figure 7 It is a schematic structural diagram of the winch of the present invention and the multimodal energy harvesting device thereon.

[0026] In the figure: 1 is the support shaft, 2 is the roller, 3 is the outer baffle of the roller, 4 is the electromagnetic converter, 5 is the induction coil mounting frame, 6 is the induction coil, 7 is the tension sensor, 8 is the motor, 9 is the first thermoelectric converter, 10 is the second thermoelectric converter, and 11 is the battery. DETAILED DESCRIPTION

[0027] The present invention will be further described and illustrated below in conjunction with specific embodiments. The technical features of each embodiment of the present invention can be combined accordingly without conflict.

[0028] Example 1

[0029] like Figure 1 As shown, this embodiment provides a multifunctional portable winch system, specifically comprising:

[0030] Winch: The winch generally uses an external power supply to work. When the external power supply is unavailable, other modules are used to provide power.

[0031] Multimodal energy harvesting device: including a high-efficiency electromagnetic converter and a thermoelectric converter, used to recover the multimodal energy generated by the winch system;

[0032] Intelligent energy management module: includes power distribution module and power storage module. It uses AI prediction and machine learning algorithms to monitor energy status in real time and dynamically adjust energy distribution.

[0033] Multifunctional application module: including lighting module, emergency power supply module and wireless communication module;

[0034] 1) Multimodal energy harvesting device:

[0035] High efficiency electromagnetic converter is installed inside the drum, such as Figure 5 、 Figure 6 As shown, the space is used rationally while ensuring its safety. The high-efficiency electromagnetic converter uses rare earth permanent magnet materials as its core structure, which significantly improves the efficiency of electromagnetic conversion. The use of rare earth permanent magnet materials has a maximum conversion efficiency of 90%. The electromagnetic converter efficiently converts mechanical energy into electrical energy through the relative movement between the built-in induction coil and the permanent magnet (such as the pulling or rotation of the winch rope). The high-efficiency electromagnetic converter also combines advanced bidirectional electromagnetic power generation technology, which not only realizes the conversion of mechanical energy into electrical energy, but also can reversely convert electrical energy into mechanical energy when necessary, making the converter more flexible and efficient in energy utilization.

[0036] Thermoelectric converters are installed outside the motor and battery, such as Figure 3 、 Figure 4 As shown, ensuring the widest possible range of heat transfer; thermoelectric converters utilize the temperature difference between the ambient temperature and internal system components (such as batteries and motors) to convert thermal energy into electrical energy through the thermoelectric effect of thermoelectric materials. They are particularly suitable for environments with large temperature swings between day and night or when the system operates for long periods of time, with a maximum conversion efficiency of 5%. Thermoelectric converters are constructed using nanoscale thermoelectric materials, which exhibit excellent thermoelectric properties at the microscopic level. They can efficiently capture and convert thermal energy across a wide temperature range, converting heat that would otherwise be lost into electrical energy, thereby significantly improving the energy recovery efficiency of the entire system. They are particularly suitable for operating environments with large temperature swings between day and night.

[0037] The position of the multimodal energy harvesting device in the entire system is as follows: Figure 7 shown.

[0038] 2) Intelligent energy management module:

[0039] The collected electrical energy first enters the energy storage module within the intelligent energy management module. The energy distribution module then autonomously determines the energy distribution ratio based on the current energy requirements of each module and the battery status of the energy storage module. The energy storage module includes high-performance lithium batteries and supercapacitors. Generally, when the energy supply exceeds or equals the energy requirements of all modules in the winch system, the excess energy is stored in the high-performance lithium batteries and supercapacitors. The lithium batteries provide long-term storage and stable power supply, while the supercapacitors play a vital role in situations where rapid discharge is required, such as starting high-power motors.

[0040] In this embodiment, the high-performance lithium battery has a capacity of 5000 mAh and the supercapacitor has a capacity of 1000 F.

[0041] 3) Intelligent motor control module:

[0042] The intelligent motor control module can realize optimal motor speed calculation and motor speed control, including a tension sensor and a speed control unit.

[0043] The tension sensor, installed inside the winch drum, monitors changes in drum tension in real time. The speed control unit calculates the optimal motor speed based on the detected tension in real time to optimize energy recovery efficiency. A machine learning model predicts the recovery rate and adjusts the motor speed accordingly, ensuring optimal energy utilization under varying operating conditions. Based on the real-time calculated optimal speed, the motor speed is dynamically adjusted to accommodate varying load and tension conditions, improving system flexibility and extending motor life.

[0044] 4) Multifunctional application module:

[0045] Lighting Module: The lighting module is controlled by a photosensitive switch and a mechanical switch. In low-light environments (such as at night) or in emergency situations, the photosensitive switch closes, and the intelligent energy management module supplies power to the lighting module to ensure its normal operation. The lighting module uses an LED light array, and the light it emits not only helps the operator observe the winch operation, but also provides guidance in emergency situations by turning on the lighting module's mechanical switch. The lighting module also automatically adjusts the lighting intensity and mode based on changing environmental conditions, ensuring optimal lighting in all lighting conditions.

[0046] Emergency power supply module: When the external power supply is unavailable or insufficient, the emergency power supply module automatically turns on and provides emergency charging services for other devices that need power (such as mobile phones, flashlights, etc.) through the power provided by the intelligent energy management module. It is particularly suitable for power-free environments such as the wild or disaster sites.

[0047] Wireless Communication Module: The wireless communication module utilizes the power provided by the intelligent energy management module to enable wireless communication with a remote control center or other portable devices. During winch operation, operators can use the wireless communication module to send data such as operating status and fault information to the remote control center. Operators can also receive instructions and dispatch information from the control center, improving operational efficiency and safety. The wireless communication module supports multi-band Wi-Fi and Bluetooth communication protocols, enabling data transmission and remote control. This design allows users to remotely monitor and control the system via a mobile phone or other smart terminal, greatly enhancing the system's convenience and intelligence.

[0048] Smart output interface: The multifunctional application module also includes a smart output interface, which provides customized power output services for external mobile devices, not only improving the practicality of the system, but also enhancing the user's response capabilities in emergency situations.

[0049] Example 2

[0050] This embodiment provides an overall operation method of the multifunctional portable winch system, such as Figure 2 As shown, it includes mechanical energy harvesting, thermal energy harvesting, intelligent energy management, intelligent motor control and multi-functional applications. The specific technical details are described below.

[0051] 1) Multimodal energy harvesting:

[0052] When a winch is used to pull a heavy load, a highly efficient electromagnetic converter comes into play. Specifically, when the winch rope is pulled or rotated, relative motion occurs between the built-in induction coil and the permanent magnet, generating an alternating magnetic field. This alternating magnetic field induces a current in the induction coil, converting mechanical energy into electrical energy.

[0053] When the system is operating for extended periods, the thermoelectric converter captures heat generated by the motor and battery and converts it into electricity. Specifically, thermoelectric materials exploit the temperature difference between the ambient temperature and the system's internal components (such as the motor and battery) to generate a thermoelectric effect. The thermoelectric material converts heat into electricity, which is then output via the thermoelectric converter.

[0054] The electrical energy obtained through mechanical energy collection and thermal energy collection enters the intelligent energy management module, and enters the electrical energy storage unit through the electrical energy distribution unit for further management and distribution.

[0055] 2) Intelligent energy management

[0056] The intelligent energy management module dynamically adjusts power distribution based on the current needs of each module and the battery status. This includes the following three aspects:

[0057] Power Distribution: The system intelligently determines the power allocation ratio based on the needs of each module and the battery status. For example, during nighttime operations, power supply to the lighting module is prioritized; during emergency communications, power allocation to the wireless communication module is increased. The system also utilizes adaptive algorithms based on AI prediction and machine learning to monitor and optimize energy distribution and storage in real time, ensuring sufficient power support for core modules in all scenarios, thereby ensuring efficient system operation.

[0058] Energy Storage: Excess energy is stored in high-performance lithium-ion batteries and supercapacitors, with supercapacitors prioritized for transient energy needs, with the remainder going to lithium-ion batteries. While lithium-ion batteries provide long-term storage and stable power, supercapacitors play a crucial role in situations requiring rapid discharge, such as starting high-power motors.

[0059] 3) Power distribution strategy of intelligent energy management module:

[0060] In order to improve the overall energy efficiency and response speed of the system, the power distribution of the intelligent energy management module is not only based on the total power demand A multi-dimensional dynamic scheduling strategy is also introduced, which dynamically constructs the scheduling weight vector based on factors such as module priority, remaining battery power, task urgency, and module operating status. Each of w i ∈[0,1] represents the current weight of the i-th module, which is used to guide the power distribution decision.

[0061] 1. Time-sharing scheduling and priority management mechanism:

[0062] Module allocation priorities can be driven by system tasks or set by user commands. For example, during the "pull start" period, the motor control module has the highest priority, and the system quickly injects capacitor energy into the motor to support high-power starting. During the "maintain traction" period or "lighting monitoring period," multi-function modules (such as lighting and communications) are prioritized, and energy distribution prioritizes higher-priority modules.

[0063] 2. Power decomposition and source matching principles:

[0064] In satisfaction Under this premise, the system uses the following source matching logic for dynamic power supply:

[0065] The capacitor preferentially powers the high transient response module, which includes a winch;

[0066] The lithium battery preferentially supplies power to the stable load module, which includes a multimodal energy harvesting module, an intelligent energy management module, an intelligent motor control module, and a multifunctional application module;

[0067] 3. Energy loss modeling and feedback correction mechanism:

[0068] The system adopts the energy conservation model:

[0069] E input =E output +E loss

[0070] Among them E input The input energy provided to the energy harvesting module, E output is the total real-time energy output of all modules, E loss The system estimates E in real time through the integrated sensor network. loss , and the scheduling weight vector Perform feedback correction to improve distribution accuracy and stability.

[0071] 4. AI adaptive scheduling algorithm:

[0072] Under normal operating conditions, the intelligent energy management module uses an AI adaptive scheduling algorithm to distribute power, with minimizing total power consumption as the objective function:

[0073]

[0074] Among them, P base，i is the static power consumption of the module, P dyn，n Dynamic power consumption is assessed in real time by a predictive model based on actual operating conditions (such as tension gradient and communication frequency). The AI-powered adaptive scheduling algorithm combines historical energy consumption data with operational scenarios and continuously trains scheduling strategies through machine learning, forming a closed-loop control system that adjusts scheduling weights.

[0075] 5. Fault adaptive protection mechanism:

[0076] When the system detects abnormal power in a certain module, such as the current power exceeds the historical power range of the module, it may indicate abnormal problems such as motor overload and battery overheating. At this time, the fault protection mechanism is immediately triggered to reduce the scheduling weight of the abnormal module and limit the maximum power output. At the same time, the energy supply of the lighting and communication modules is prioritized to ensure that the core functions of the system can still operate under extreme conditions.

[0077] d) Intelligent motor control

[0078] The intelligent motor control module uses a tension-based gradient regulation mechanism to dynamically adjust the motor speed through an intelligent algorithm to adapt to different load and tension conditions. The specific steps are as follows:

[0079] Optimal Motor Speed ​​Calculation: The system calculates the optimal motor speed in real time based on load and tension to optimize energy recovery efficiency. A machine learning model predicts the recovery rate and adjusts the motor speed accordingly, ensuring optimal energy utilization under different operating conditions.

[0080] Motor speed control: The system dynamically adjusts the motor speed through intelligent algorithms to adapt to different load and tension conditions, improving system flexibility and extending motor life.

[0081] The specific operating steps of the intelligent motor control module are as follows:

[0082] To further improve energy recovery efficiency and system dynamic response, the intelligent motor control module introduces a dynamic adjustment mechanism based on gradient prediction and AI learning, building on the existing tension sensing and speed control, to achieve precise energy scheduling control. This control strategy includes the following key steps:

[0083] 1. Power consumption prediction modeling:

[0084] The system collects the current tension data L(t) in real time through the tension sensor on the winch, and calculates the power consumption corresponding to the current moment based on the maximum load L(max) set by the system:

[0085]

[0086] Among them, P max is the maximum power capacity of the system. This model reflects the linear relationship between load and power consumption and provides a real-time energy evaluation basis for subsequent control strategies.

[0087] 2. Load trend forecast:

[0088] The system calculates the rate of change gradient of the tension data L(t) Used to determine the current load change trend. When G(t) ≥ 0, it indicates that the system load is accelerating or moving at a constant speed; conversely, when G(t) < 0, it indicates that the load is decelerating or decreasing.

[0089] 3. AI predictive regulation model:

[0090] In the phase where the rate of change of tension is positive (i.e. G(t) ≥ 0), the system calls the built-in machine learning model to predict the future energy recovery rate and dynamically adjust the motor speed based on the predicted value to maximize the energy recovery efficiency. The model outputs the optimal speed adjustment coefficient α by inputting the historical tension curve and the current system state parameters. opt , ensuring the system achieves a dynamic balance between energy efficiency and stability under different operating conditions. When the rate of change of tension is negative, that is, G(t) < 0, the machine learning model is not invoked, and the current motor speed remains unchanged.

[0091] 4. Energy recovery efficiency calculation and feedback mechanism:

[0092] The system calculates the energy recovery efficiency η in real time rec , which is expressed as follows:

[0093]

[0094] Among them E rec is the energy recovered per unit time, E input =The total input energy during that period. This parameter is used as a system feedback indicator and input into the machine learning model for model training. It is used to further modify the motor control strategy and optimize the overall energy management model.

[0095] 5. Adaptive multi-stage control strategy:

[0096] The motor control module trains different machine learning models for different operating phases (such as startup, continuous traction, and stop), improving the model's stage-specific targeting. This strategy, in conjunction with the energy management module, enables segmented speed regulation and power supply. This strategy utilizes state recognition logic combined with the dual criteria of pulling force and time to improve energy recovery and extend motor life.

[0097] e) Multifunctional application module

[0098] The control logic of the multifunctional application module includes:

[0099] The lighting module is triggered by a light sensor, and the brightness and working mode of the LED light group are dynamically adjusted according to the ambient light intensity. The wireless communication module uploads the winch operation status data to the remote control center in real time, and receives external commands to adjust the system operating parameters. When the external power supply is unavailable or insufficient, the emergency power supply module provides stable power output to external devices through the intelligent output interface, as shown below.

[0100] At night or in low-light environments, the intelligent energy management module supplies power to the lighting module to ensure its normal operation. The lighting module can automatically adjust the lighting intensity and mode according to changes in environmental conditions, ensuring optimal lighting effects in various lighting conditions.

[0101] When external power is unavailable or insufficient, the emergency power supply module uses the power provided by the intelligent energy management module to provide emergency charging services for other devices requiring power, such as mobile phones and flashlights. Specifically, the emergency power supply module uses the power provided by the intelligent energy management module to provide stable power support for external devices. This is particularly suitable for off-grid environments such as the wild or disaster sites, ensuring that users can maintain communication and lighting in emergency situations.

[0102] The wireless communication module utilizes power provided by the intelligent energy management module to enable wireless communication with a remote control center or other portable devices. Specifically, during winch operation, operators can use the wireless communication module to send data such as operating status and fault information to the remote control center. Operators can also receive instructions and dispatch information from the control center, improving operational efficiency and safety.

[0103] This invention innovatively introduces a tension-based gradient regulation mechanism, which is not only applied during the energy recovery process but also effectively utilized during the energy distribution phase. By using a tension sensor to monitor the changes in the tension of the weight in real time, the system can intelligently adjust the intensity of energy recovery and release according to different operation stages (such as the initial stage of pulling the weight and the weight movement stage). At the same time, the system can finely allocate power resources based on the changes in tension, ensuring the optimal distribution and use of energy during the weight pulling and weight movement stages, avoiding energy waste and improving system efficiency.

[0104] Through the design of the present invention, when users use the winch system for mechanical operations, they can efficiently utilize the recovered kinetic energy and thermal energy to power the multi-functional module, thereby reducing dependence on external power sources and providing stable power support in emergency situations, greatly improving the portability and application range of the system.

[0105] Through the above specific implementation methods, the present invention provides an efficient, intelligent and multifunctional portable winch system, which is suitable for a variety of complex environments and application scenarios, and can effectively improve the user's operating experience and safety in outdoor operations, exploration and emergency rescue.

Claims

1. A multifunctional portable winch system based on multimodal energy harvesting and conversion technology, characterized in that: It includes a winch, a multimodal energy harvesting module, an intelligent energy management module, an intelligent motor control module and a multifunctional application module, wherein the intelligent energy management module includes an electric energy distribution module and an electric energy storage module; The winch is connected to an external power supply, the multimodal energy collection module is used to collect mechanical energy and thermal energy generated by the winch operation in real time and convert them into electrical energy, the multimodal energy collection module is connected to the electrical energy storage module, the electrical energy storage module is used to store the electrical energy converted by the multimodal energy collection module, and the electrical energy distribution module is used to calculate the optimal electrical energy distribution strategy according to the current needs of each module and the remaining power of the electrical energy storage module, and provide electrical energy for the operation of other modules according to the optimal electrical energy distribution strategy; The intelligent motor control module is used to detect the pulling force on the winch and calculate the optimal motor speed in real time, and drive the winch to operate by controlling the motor speed; The multifunctional application module includes a wireless communication module, a lighting module, and an emergency power supply module for providing power support for external devices.

2. The multifunctional portable winch system based on multimodal energy harvesting and conversion technology according to claim 1 is characterized in that: The multimodal energy collection module includes a mechanical energy collection unit and a thermal energy collection unit. The mechanical energy collection unit is an electromagnetic bidirectional converter installed inside the drum of the winch; the thermal energy collection unit is a thermoelectric converter installed outside the motor and the electric energy storage module. The thermoelectric converter uses the temperature difference effect between the ambient temperature and the internal components of the winch system to convert thermal energy into electrical energy.

3. The multifunctional portable winch system based on multimodal energy harvesting and conversion technology according to claim 2 is characterized in that: The electromagnetic converter is constructed of rare earth permanent magnet material, and the thermoelectric converter is constructed of nano-scale thermoelectric material.

4. The multifunctional portable winch system based on multimodal energy harvesting and conversion technology according to claim 1 is characterized in that: The intelligent motor control module includes a tension sensor and a speed control unit; the tension sensor is installed inside the winch drum and is used to monitor the changes in the drum tension of the winch in real time; the speed control unit is used to calculate the optimal speed of the winch motor according to the changes in the drum tension and dynamically adjust it.

5. The multifunctional portable winch system based on multimodal energy harvesting and conversion technology according to claim 4 is characterized in that: The control strategy of the speed control unit includes: The tension data L(t) collected in real time by the tension sensor is combined with the maximum load L(max) set by the system to calculate the power consumption P(t) at the current moment. The calculation formula is: Among them, P max is the maximum power capacity of the system; Real-time calculation of actual energy recovery rate η rec , the actual energy recovery rate η rec The power consumption P(t) is input into the machine learning model for model training, and the model's prediction of energy recovery rate is optimized. Different machine learning models are trained at different operating stages of the motor. The energy recovery rate is calculated as follows: Among them E rec is the energy recovered per unit time, E input is the total input energy per unit time; The rate of change gradient G(t) of the tension data L(t) is calculated. When G(t) ≥ 0, the corresponding machine learning model is called according to the current stage to predict the energy recovery rate and dynamically adjust the motor speed according to the predicted value; when G(t) < 0, the current motor speed remains unchanged.

6. The multifunctional portable winch system based on multimodal energy harvesting and conversion technology according to claim 4 is characterized in that: In the intelligent energy management module, the power distribution module is used to determine the power distribution ratio based on the current power requirements of each module and the remaining power of the system; the power storage module includes a lithium battery and a capacitor, the lithium battery is used for long-term storage and stable power supply, and the capacitor is used for rapid discharge when needed.

7. The multifunctional portable winch system based on multimodal energy harvesting and conversion technology according to claim 6 is characterized in that: The distribution strategy of the electric energy distribution module specifically includes: Define the scheduling weight vector where w i ∈[0,1] represents the scheduling weight of the i-th module. The power distribution module allocates power of different input powers to each module according to the scheduling weight; Adopting a priority management mechanism, power distribution gives priority to modules with higher priority, and module priority supports dynamic adjustment; The premise of electric energy distribution is to satisfy the energy conservation model E input =E output +E loss , where E input The input energy provided to the energy harvesting module, E output is the total real-time energy output of all modules, E loss Losses during transmission and conversion; Under normal working conditions, the scheduling weight is adjusted to minimize the total power consumption while satisfying the priority management mechanism and energy conservation model; In the event of a power anomaly in a module, the scheduling weight of the abnormal module is reduced and the priority of the lighting and communication modules is increased, provided that the priority management mechanism and energy conservation model are met; In any case, the capacitor gives priority to powering the winch, and the lithium battery gives priority to powering modules other than the winch.

8. The multifunctional portable winch system based on multimodal energy harvesting and conversion technology according to claim 1 is characterized in that: The lighting module is used to automatically adjust the lighting intensity and mode as the environment changes.

9. The multifunctional portable winch system based on multimodal energy harvesting and conversion technology according to claim 1 is characterized in that: The wireless communication module supports multi-band Wi-Fi and Bluetooth communication protocols, and is used to realize wireless communication between the winch system and the outside and remote control function of the winch system.

10. A method for operating the multifunctional portable winch system according to claim 1, characterized in that: include: When the winch starts pulling, the multimodal energy harvesting module collects the mechanical and thermal energy generated by the winch operation in real time, converts the collected energy into electrical energy and stores it in the intelligent energy management module. The intelligent energy management module dynamically distributes power to the intelligent motor control module and multi-function application module based on the power requirements of each module and the remaining stored power; The intelligent motor control module combines the changes in the pulling force on the winch with a machine learning model to calculate the optimal motor speed and dynamically adjust it; The multifunctional application module can activate the emergency power supply function when the external power supply is interrupted, turn on the lighting when the ambient light is insufficient, and realize data interaction with the outside world through wireless communication.

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