Stable regulation and control method for performance of shear thickening intelligent protection system at extreme temperature

Abstract

The invention relates to the technical field of shear thickening intelligent protection system control, in particular to a stable regulation and control method for the performance of a shear thickening intelligent protection system at an extreme temperature, which realizes breakthrough through three technical innovations: firstly, temperature subareas (low temperature, medium temperature and high temperature) and impact grading (light, medium and heavy) are preset in the first step; an accurate regulation and control reference is provided for different working conditions; 2, acquiring impact load, temperature and protection performance data (thickening amplitude and recovery time) in real time through a pressure sensor, a temperature sensor and a viscosity sensor (claim 3) adaptive to extreme temperature, and accurately judging the category of a'temperature-load 'working condition; 3, dynamically correcting a threshold value (claim 5) in combination with real-time performance feedback based on a working condition judgment result in the step 3, reducing the threshold value by 5-10% when the thickening amplitude is insufficient, and increasing the threshold value by 5-10% when the thickening amplitude is excessive; the method has the beneficial effects that the response threshold adaptation error can be greatly reduced under various extreme temperature working conditions, and the thickening response time is remarkably shortened.

Description

Technical Field

[0001] This invention relates to the field of control technology for intelligent shear thickening protection systems, and more specifically, to a method for stable performance regulation of intelligent shear thickening protection systems under extreme temperatures. Background Technology

[0002] Shear-thickening fluid (STF), a typical smart rheological material, is characterized by a rapid increase in viscosity and a near-solid state under impact, shear, or other external forces, quickly returning to a fluid state after the force dissipates. This property makes it widely applicable in protective fields such as individual soldier protection, equipment protection, and aerospace protection. STF-based smart protection systems, utilizing their shear-thickening properties to resist external impact loads, offer significant advantages over traditional rigid protection systems, including greater flexibility, faster response, and higher protection accuracy. This has become a research hotspot and development trend in the field of protective technology. The STF intelligent protection system exhibits significant performance degradation under extreme temperature environments. Existing control methods are mostly designed for normal temperatures, which may result in a fixed response threshold that cannot adapt to temperature changes. Low temperatures lead to response lag, while high temperatures cause excessive thickening. Performance degrades after multiple impacts, and there is a lack of monitoring and repair mechanisms. The control methods are singular and do not form a collaborative closed loop, making them prone to failure under extreme conditions. Furthermore, there is a lack of differentiated strategies for different temperature ranges and impact levels, resulting in poor hardware adaptability. Current technology struggles to balance immediate protection with long-term durability. Summary of the Invention

[0003] To overcome the aforementioned shortcomings of existing technologies, this invention provides a method for stable performance control of a shear thickening intelligent protection system under extreme temperatures. The technical problems to be solved by this invention are: the response threshold is a fixed value, which cannot adapt to temperature changes; low temperatures lead to response lag, while high temperatures cause excessive thickening; performance degrades after multiple impacts, and there is a lack of monitoring and repair mechanisms; the control method is singular and does not form a collaborative closed loop, making it prone to failure under extreme conditions; there is a lack of differentiated strategies for different temperature ranges and impact levels, resulting in poor hardware adaptability, and current technologies struggle to balance immediate protection with long-term durability.

[0004] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A method for stabilizing the performance of a shear thickening intelligent protection system under extreme temperatures includes the following steps: Step 1: System Initialization and Parameter Preset: First, build a control hardware platform adapted to extreme temperature environments (-60℃~120℃). This hardware platform is the core control carrier of the shear thickening intelligent protection system. It integrates sensor components, temperature control adjustment module, self-healing execution module and main control core module. The modules are electrically connected and interact with each other through high temperature and low temperature resistant transmission lines to ensure stable operation under extreme temperatures. The sensor module is used for real-time acquisition of operating data, the temperature control module is used for precise control of STF temperature, the self-repair execution module is used for repair work after performance degradation, and the main control core module is used for data processing, command issuance and parameter management. After the hardware platform is built, the core control module completes the preset configuration of core control parameters, including impact load classification standards (three levels: light impact, medium impact, and heavy impact, used to distinguish external impacts of different intensities), extreme temperature zone thresholds (low temperature zone -60℃~-30℃, medium temperature zone -30℃~80℃, high temperature zone 80℃~120℃, adapted to different extreme temperature scenarios), initial value of STF shear response threshold (preset benchmark threshold based on different temperature-load combinations), and performance degradation judgment threshold (used to determine whether STF needs to start self-repair), etc. Meanwhile, the standard benchmark data of STF protection performance at normal temperature and various extreme temperatures (including standard thickening range, standard recovery time, standard viscosity range, etc.) are stored in the local database of the main control module to provide a basis for comparison for subsequent working condition analysis and performance evaluation, and to ensure that the entire control system can quickly enter a stable working state after startup.

[0005] Step 2: Real-time Operating Condition Data Acquisition and Analysis: After the control system is started, during operation under extreme temperature conditions, multi-dimensional data is continuously and in real-time collected through the sensor components of the hardware platform. Among them, the pressure sensor is used to collect the impact load data of the external force acting on the protection system (the sampling frequency is set to 100Hz to ensure accurate capture of instantaneous impact signals), the temperature sensor adopts a distributed deployment method to collect temperature data of different areas of the STF core layer (at least 3 sampling points are set in each area to avoid analysis errors caused by local temperature deviations), and the viscosity sensor collects the dynamic viscosity, thickening amplitude and recovery time of the STF and other protective performance data in real time. All collected data, after being processed to resist interference, is transmitted to the main control core module in real time. The main control module performs synchronous analysis and processing on the received data. On the one hand, based on the impact load data and the preset impact classification standard, it determines the level of the current external impact. On the other hand, based on the STF temperature data and the preset temperature zone threshold, it determines the current extreme temperature range, thereby forming a two-dimensional "temperature-load" working condition classification result. On the other hand, the real-time collected STF protection performance data is compared and analyzed with the standard benchmark data under the corresponding working conditions stored in the database to calculate the performance degradation amount and assess whether the current protection performance of the STF has reached the preset performance degradation judgment threshold, so as to provide accurate data support for subsequent response threshold adjustment and self-repair triggering.

[0006] Step 3: Impact-Temperature Coordinated Multi-Level Response Threshold Adjustment: Based on the "temperature-load" dual-dimensional working condition category determined in Step 2, the main control core module calls the corresponding STF initial shear response threshold from the local database and dynamically adapts and adjusts it according to the specific characteristics of the current working condition. For example, under the light impact working condition in the low temperature zone, considering that the low temperature will lead to the increased rigidity of the STF molecular chain and the lag in the thickening response, the initial response threshold is appropriately lowered to ensure rapid triggering of thickening protection. Under high-temperature and heavy-impact conditions, considering that high temperatures can cause STF viscosity to decrease and easily become excessively thickened, the initial response threshold is appropriately increased to avoid brittleness of the protective layer. After the initial threshold is adapted, the main control module continuously receives real-time protective performance data from the viscosity sensor to dynamically monitor whether the thickening effect of the STF meets the current impact protection requirements. If insufficient thickening is detected, which fails to effectively resist external impact loads, it indicates that the current shear response threshold is too high, and the current threshold should be immediately lowered by 5%–10%. If excessive thickening is detected, causing the protective layer rigidity to exceed the standard and affecting the flexibility of the protection system, it indicates that the current shear response threshold is too low, and the current threshold should be immediately raised by 5%–10%. Through the above dynamic adaptation and real-time correction, the STF protection performance under extreme temperatures is ensured to accurately match the current protection requirements, guaranteeing the immediate protective effect of the protection system.

[0007] Step 4: Performance Degradation Monitoring and Precise Self-Repair Trigger: Under extreme temperatures, the protection system may face multiple impact cycles. After long-term use, the STF will experience performance degradation due to issues such as molecular chain damage and nanoparticle aggregation. Therefore, the main control module continuously monitors the performance degradation status of the STF after multiple impact cycles under extreme temperatures, focusing on tracking key performance indicators such as the percentage decrease in thickening amplitude and the percentage increase in recovery time. It also conducts a comprehensive evaluation based on factors such as the number of impacts and the cumulative effect of temperature. When the STF protection performance is detected to reach the preset degradation judgment threshold (thickening amplitude decrease ≥20% or recovery time increase ≥30%), it is determined that the STF can no longer meet the normal protection requirements. The main control module immediately initiates a differentiated self-repair process based on the current "temperature-load" conditions to ensure that the repair effect is adapted to the extreme temperature environment. Before the self-repair process is initiated, the main control module first confirms the current conditions a second time, clarifying the temperature range and impact level, and then matches the corresponding repair strategy. During the repair process, to avoid gaps in protection caused by sudden impacts, the basic protection capability of the STF is continuously maintained to ensure protection continuity and ensure that the protection system can still withstand minor external impacts during the repair period.

[0008] Step 5: Repair Effect Verification and Threshold Calibration: After the self-repair process is initiated, the viscosity sensor continuously and frequently collects STF protective performance data, and monitors the recovery status of indicators such as STF thickening amplitude and recovery time in real time. The main control module dynamically compares the real-time data with the standard benchmark data under the corresponding working conditions to determine whether the repair effect meets the standard. When the STF protective performance attenuation is ≤5% and all performance indicators have recovered to the standard range, the repair is confirmed to be up to standard. The main control module immediately sends a command to stop the self-repair process, shuts down the self-repair execution module and the matching temperature control module. After the repair is completed, due to the change in STF performance status, the original shear response threshold can no longer accurately adapt to the current performance. The main control module initiates in-situ shear test, and performs in-situ performance test on STF under the current working conditions through a micro shear test component, collects real-time viscosity-shear rate data, corrects the STF shear response threshold under the current working conditions based on the test data, and updates the corrected threshold to the local database, replacing the original benchmark threshold. After the threshold calibration is completed, the system automatically returns to step two and re-enters the real-time operating condition data acquisition and analysis stage, forming a closed loop for stable regulation of STF protection performance under extreme temperatures, ensuring the long-term stable operation of the protection system.

[0009] As a further aspect of the present invention: in step two, the impact classification includes three levels: light impact, medium impact, and heavy impact, and the temperature zoning includes three extreme temperature ranges: low temperature zone (-60℃~-30℃), medium temperature zone (-30℃~80℃), and high temperature zone (80℃~120℃).

[0010] As a further aspect of the present invention: in step one, the sensor includes a pressure sensor, a temperature sensor, and a viscosity sensor adapted to extreme temperatures, which are used to collect impact load data, STF temperature data, and STF protection performance data, respectively.

[0011] As a further aspect of the present invention: in step two, the protective performance data includes the thickening magnitude and recovery time of the STF, and the performance degradation judgment threshold is a decrease in the thickening magnitude of ≥20% or an extension of the recovery time of ≥30%.

[0012] As a further aspect of the present invention: in step three, the shear response threshold is corrected as follows: when the STF thickening amplitude is insufficient to meet the protection requirements, the current shear response threshold is lowered by 5%-10%; when the STF excessive thickening affects the protection flexibility, the current shear response threshold is raised by 5%-10%.

[0013] As a further aspect of the present invention: In step four, the differentiated self-repair process is specifically adapted to extreme temperature conditions, including low temperature zone (-60℃~-30℃) + light / medium impact conditions: First, the temperature control module is started to slightly increase the temperature of STF by 5-8℃. After the temperature stabilizes, the micro vibration device of the self-repair module is started to output low-frequency vibration, triggering the release of microcapsule repair agent to complete self-repair. High temperature zone (80℃~120℃) + heavy impact condition: The micro vibration device of the self-healing module outputs high-frequency vibration to quickly trigger the release of microcapsule repair agent; at the same time, the temperature control module is activated to locally cool the STF by 3-5℃ to prevent the repair agent from failing due to high temperature; Medium temperature range (-30℃~80℃) + any impact condition: The micro vibration device of the self-healing module directly starts to output medium frequency vibration, triggering the release of microcapsule repair agent to complete self-healing, without the need for additional temperature control adjustment.

[0014] As a further aspect of the present invention: In step four, during the repair period, the basic protection capability is maintained by lowering the shear response threshold of STF by 10%-15% to ensure that thickening protection can be quickly triggered in the event of a sudden impact.

[0015] As a further aspect of the present invention: in step five, the repair compliance standard is that the STF protection performance attenuation is ≤5%, and the threshold calibration is achieved through in-situ shear test to ensure that the calibrated threshold is adapted to the current extreme temperature conditions.

[0016] As a further aspect of the present invention: Steps one to five also include an emergency control step for extreme working conditions: when an extreme temperature change or extreme impact load is detected, the STF shear response threshold is quickly adapted and a self-repair preparation program is initiated. After the working condition is resolved, the normal control mode is restored to ensure stable protection performance under extreme scenarios.

[0017] As a further aspect of the present invention: the extreme working conditions include a sudden temperature change ≥10℃ / min or an impact load exceeding a preset heavy impact threshold by 20%, and the method of rapidly adapting the shear response threshold is as follows: when a sudden drop in temperature is detected, the STF shear response threshold is immediately lowered by 20% to ensure rapid triggering of thickening protection.

[0018] The beneficial effects of this invention are as follows: 1. This invention achieves breakthroughs through three major technological innovations: First, in step one, temperature zones (low temperature, medium temperature, high temperature) and impact classifications (light, medium, heavy) are preset, and corresponding initial shear response thresholds are matched to provide a precise control benchmark for different working conditions; Second, in step two, pressure, temperature, and viscosity sensors adapted to extreme temperatures (claim 3) are used to collect impact load, temperature, and protective performance data (thickening amplitude, recovery time) in real time, accurately determining the "temperature-load" working condition category; Third, in step three, based on the working condition determination results, the threshold is dynamically corrected in combination with real-time performance feedback (claim 5), lowering the threshold by 5%-10% when the thickening amplitude is insufficient, and raising the threshold by 5%-10% when there is excessive thickening; This beneficial effect can ensure that the response threshold adaptation error is greatly reduced and the thickening response time is significantly shortened under various extreme temperature working conditions, effectively avoiding response lag and excessive thickening problems (e.g., in the example of low temperature -40℃ light impact working condition, the adaptation error is only 1.2%, and the response time is 35ms, which is far better than the existing technology's 48% adaptation error and 82ms response time), significantly improving the accuracy and timeliness of protection under extreme temperatures; 2. This invention addresses this pain point through a comprehensive process design: First, step two clarifies the performance degradation judgment threshold (thickening amplitude decrease ≥20% or recovery time extension ≥30%, claim 4), providing a clear standard for degradation monitoring; second, step four continuously monitors the performance degradation status after multiple impact cycles, and initiates a differentiated self-repair process when the threshold is reached (claim 6), optimizing the repair strategy for different temperature conditions (low temperature: first raise the temperature by 5-8℃ and then trigger repair with low-frequency vibration; high temperature: lower the temperature by 3-5℃ and trigger repair with high-frequency vibration; medium temperature: directly repair with medium-frequency vibration), adapting to the activity of the repair agent and the rheological properties of STF under different extreme temperatures; third, the adjustment is reduced by 10% during the repair period. —A 15% response threshold (claim 7) ensures that basic protection is not interrupted during the repair process; at the same time, step five uses a performance degradation of ≤5% as the repair standard (claim 8), calibrates the threshold and updates the benchmark data through in-situ shear testing, forming a closed-loop optimization; this beneficial effect can achieve rapid and efficient repair after performance degradation, and the performance after repair is close to the standard value, which greatly extends the service life of the STF protection system (for example, after 300 impact cycles in the embodiment, the performance degradation is 20%, and the degradation rate after repair is only 3.5%-4.5%, while the degradation rate of the prior art is as high as 40%-55% and cannot be repaired), reduces the cost of use, and ensures long-term protection stability and continuity; 3. This invention constructs a full-condition adaptive control system by adopting a complete closed-loop process of step one (initialization and parameter preset) → step two (data acquisition and operating condition identification) → step three (threshold dynamic correction) → step four (attenuation monitoring and self-repair) → step five (repair verification and threshold calibration → return to step two), combined with emergency control under extreme operating conditions (claims 9 and 10); the core of this system is... The advantages are: First, each step is interconnected, with each step providing data support for subsequent adjustments, and the results of subsequent adjustments feeding back into the optimization of parameters in the preceding steps (e.g., updating the calibrated threshold to new baseline data); second, the control strategy can be adjusted in real time according to changes in operating conditions (temperature fluctuations, impact level switching, performance degradation, extreme sudden conditions) without manual intervention; third, emergency control and routine control are seamlessly integrated. When there is a sudden change in extreme temperature (≥10℃ / min) or an impact exceeding the threshold (20% above the preset heavy impact threshold), the response threshold is quickly lowered by 20% and a self-repair preparation program is initiated (claim 10). After the condition is resolved, routine control is restored. This beneficial effect ensures that the protection system can adaptively adjust under various complex operating conditions (normal extreme temperature conditions, sudden extreme conditions) and always maintain the optimal protection state, solving the problems of fragmented control and poor adaptability of existing technologies. 4. This invention achieves two major optimizations in hardware and software co-design: First, at the hardware level, the control platform built in step one integrates sensors adapted to extreme temperatures (temperature range -80℃~150℃, pressure range 0-500kPa), a temperature control module (temperature control range -80℃~150℃, accuracy ±0.3℃), a self-healing module (vibration frequency 20-120Hz, adapted to the triggering requirements of the repair agent at different temperatures), and a high-performance main control module (supporting simultaneous acquisition of multiple data and real-time calculation), ensuring stable operation of the hardware equipment under extreme temperatures; Second, at the software level, the control... The logic is fully adapted to hardware characteristics. For example, the differentiated self-healing process (claim 6) combines the coordinated work of the temperature control module and the vibration device. At low temperatures, the temperature control module raises the temperature to ensure the activity of the repair agent, and at high temperatures, it lowers the temperature to prevent the repair agent from failing. The vibration frequency is precisely matched according to the temperature and impact level (40Hz for low frequency, 60Hz for medium frequency, and 100Hz for high frequency). This beneficial effect can improve the operational reliability of the entire protection and control system in extreme temperature environments, avoid protection interruptions caused by hardware failure, and improve the control accuracy through software and hardware co-optimization to ensure the efficient implementation of various control strategies. 5. This invention achieves a balance through multi-dimensional design: First, in terms of immediate protection, the dynamic threshold correction in step three ensures accurate and timely thickening response under different working conditions, avoiding response lag (immediate protection failure) and excessive thickening (affecting flexibility); second, in terms of long-term durability, the self-healing function (step four) and closed-loop calibration (step five) significantly extend the lifespan of the STF and reduce the replacement frequency; third, in terms of flexibility, to address the problem of excessive thickening at high temperatures, the response threshold is increased by 5%-10% (claim 5) to reduce the occurrence rate of excessive thickening. At the same time, the flexible properties of the STF material itself, combined with precise control, ensure that the protection system still has good usability flexibility under extreme temperatures (such as the wearing flexibility of individual protective clothing and the adaptability of equipment protection); this beneficial effect can achieve a balance between immediate protection accuracy, long-term durability, and usability flexibility, solving the pain point that existing technologies cannot meet multi-dimensional needs, and broadening the application scenarios of STF protection systems; 6. This invention reduces usage and maintenance costs from multiple dimensions through technological innovation: First, the self-healing function significantly reduces the replacement frequency of STF materials, substantially lowering material consumption costs compared to the existing "one-time protection" or "periodic replacement" model; second, the closed-loop automatic control system requires no manual intervention, reducing labor costs for manual monitoring, parameter adjustment, and maintenance; third, the hardware modules are adaptable to extreme temperatures, ensuring high operational reliability and reducing equipment failure repair costs; fourth, the control strategy is highly versatile, adaptable to different extreme temperature conditions and impact levels, eliminating the need for separately designed control schemes for specific scenarios and reducing scenario adaptation costs. Furthermore, the technical solution of this invention can be directly applied to the upgrade and transformation of existing STF protection systems without large-scale hardware restructuring, further improving the feasibility and economy of engineering applications. These beneficial effects can promote the large-scale application of STF intelligent protection systems in the field of extreme environment protection, solving the problems of high usage costs and engineering difficulties associated with existing technologies. Attached Figure Description

[0019] Figure 1 This is a step diagram of the present invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1 like Figure 1 As shown, this invention provides a method for stabilizing the performance of a shear-thickening intelligent protection system under extreme temperatures, comprising the following steps: Step 1: System Initialization and Parameter Preset: First, build a control hardware platform adapted to extreme temperature environments (-60℃~120℃). This hardware platform is the core control carrier of the shear thickening intelligent protection system. It integrates sensor components, temperature control adjustment module, self-healing execution module and main control core module. The modules are electrically connected and interact with each other through high temperature and low temperature resistant transmission lines to ensure stable operation under extreme temperatures. The sensor module is used for real-time acquisition of operating data, the temperature control module is used for precise control of STF temperature, the self-repair execution module is used for repair work after performance degradation, and the main control core module is used for data processing, command issuance and parameter management. After the hardware platform is built, the core control module completes the preset configuration of core control parameters, including impact load classification standards (three levels: light impact, medium impact, and heavy impact, used to distinguish external impacts of different intensities), extreme temperature zone thresholds (low temperature zone -60℃~-30℃, medium temperature zone -30℃~80℃, high temperature zone 80℃~120℃, adapted to different extreme temperature scenarios), initial value of STF shear response threshold (preset benchmark threshold based on different temperature-load combinations), and performance degradation judgment threshold (used to determine whether STF needs to start self-repair), etc. Meanwhile, the standard benchmark data of STF protection performance at normal temperature and various extreme temperatures (including standard thickening range, standard recovery time, standard viscosity range, etc.) are stored in the local database of the main control module to provide a basis for comparison for subsequent working condition analysis and performance evaluation, and to ensure that the entire control system can quickly enter a stable working state after startup.

[0022] Step 2: Real-time Operating Condition Data Acquisition and Analysis: After the control system is started, during operation under extreme temperature conditions, multi-dimensional data is continuously and in real-time collected through the sensor components of the hardware platform. Among them, the pressure sensor is used to collect the impact load data of the external force acting on the protection system (the sampling frequency is set to 100Hz to ensure accurate capture of instantaneous impact signals), the temperature sensor adopts a distributed deployment method to collect temperature data of different areas of the STF core layer (at least 3 sampling points are set in each area to avoid analysis errors caused by local temperature deviations), and the viscosity sensor collects the dynamic viscosity, thickening amplitude and recovery time of the STF and other protective performance data in real time. All collected data, after being processed to resist interference, is transmitted to the main control core module in real time. The main control module performs synchronous analysis and processing on the received data. On the one hand, based on the impact load data and the preset impact classification standard, it determines the level of the current external impact. On the other hand, based on the STF temperature data and the preset temperature zone threshold, it determines the current extreme temperature range, thereby forming a two-dimensional "temperature-load" working condition classification result. On the other hand, the real-time collected STF protection performance data is compared and analyzed with the standard benchmark data under the corresponding working conditions stored in the database to calculate the performance degradation amount and assess whether the current protection performance of the STF has reached the preset performance degradation judgment threshold, so as to provide accurate data support for subsequent response threshold adjustment and self-repair triggering.

[0023] Step 3: Impact-Temperature Coordinated Multi-Level Response Threshold Adjustment: Based on the "temperature-load" dual-dimensional working condition category determined in Step 2, the main control core module calls the corresponding STF initial shear response threshold from the local database and dynamically adapts and adjusts it according to the specific characteristics of the current working condition. For example, under the light impact working condition in the low temperature zone, considering that the low temperature will lead to the increased rigidity of the STF molecular chain and the lag in the thickening response, the initial response threshold is appropriately lowered to ensure rapid triggering of thickening protection. Under high-temperature and heavy-impact conditions, considering that high temperatures can cause STF viscosity to decrease and easily become excessively thickened, the initial response threshold is appropriately increased to avoid brittleness of the protective layer. After the initial threshold is adapted, the main control module continuously receives real-time protective performance data from the viscosity sensor to dynamically monitor whether the thickening effect of the STF meets the current impact protection requirements. If insufficient thickening is detected, which fails to effectively resist external impact loads, it indicates that the current shear response threshold is too high, and the current threshold should be immediately lowered by 5%–10%. If excessive thickening is detected, causing the protective layer rigidity to exceed the standard and affecting the flexibility of the protection system, it indicates that the current shear response threshold is too low, and the current threshold should be immediately raised by 5%–10%. Through the above dynamic adaptation and real-time correction, the STF protection performance under extreme temperatures is ensured to accurately match the current protection requirements, guaranteeing the immediate protective effect of the protection system.

[0024] Step 4: Performance Degradation Monitoring and Precise Self-Repair Trigger: Under extreme temperatures, the protection system may face multiple impact cycles. After long-term use, the STF will experience performance degradation due to issues such as molecular chain damage and nanoparticle aggregation. Therefore, the main control module continuously monitors the performance degradation status of the STF after multiple impact cycles under extreme temperatures, focusing on tracking key performance indicators such as the percentage decrease in thickening amplitude and the percentage increase in recovery time. It also conducts a comprehensive evaluation based on factors such as the number of impacts and the cumulative effect of temperature. When the STF protection performance is detected to reach the preset degradation judgment threshold (thickening amplitude decrease ≥20% or recovery time increase ≥30%), it is determined that the STF can no longer meet the normal protection requirements. The main control module immediately initiates a differentiated self-repair process based on the current "temperature-load" conditions to ensure that the repair effect is adapted to the extreme temperature environment. Before the self-repair process is initiated, the main control module first confirms the current conditions a second time, clarifying the temperature range and impact level, and then matches the corresponding repair strategy. During the repair process, in order to avoid gaps in protection caused by sudden impacts, the basic protection capability of the STF is continuously maintained to ensure the continuity of protection and ensure that the protection system can still withstand minor external impacts during the repair period. Continuous monitoring of STF performance degradation after multiple shock cycles at extreme temperatures, combined with calculations using the hierarchical attention weight formula. When the STF protection performance is detected to have reached the attenuation threshold (or At that time, the main control module determines the current temperature-load conditions and Weight level determines the activation of the corresponding differentiated self-healing process (the higher the weight, the faster the repair response and the greater the repair intensity), the specific formula is as follows: ; The total hierarchical attention weight (dimensionless) is the core output parameter of the formula; it represents the comprehensive contribution weight of the four levels—temperature condition layer, impact load layer, performance degradation layer, and self-healing state layer—to the stable performance regulation of the shear thickening intelligent protection system under the current extreme temperature. It is the core quantitative decision-making basis for dynamic correction of the shear response threshold, differentiated self-healing triggering, and emergency regulation initiation. Its value range is [range missing]. The specific value range is deeply tied to the invention control steps; The start time of the current control cycle (unit: s, seconds) can be accurately collected through the system clock. Each control cycle (default 5s / cycle) corresponds to a unique start time. It is used to define the starting point of integral calculation and adapt to the periodic characteristics of the invention's closed-loop control. The current time (unit: s, seconds) can be collected in real time through the system clock. The sampling frequency is synchronized with the sensor (100Hz) to capture the time dimension characteristics of real-time operating data and ensure the timeliness of integral calculation, derivative solution and other processes. Time increment (unit: s, seconds): To ensure data accuracy matches the sensor sampling frequency, it is fixed at 0.01s and used for the limit derivative. The solution accurately captures the instantaneous rate of change of performance degradation; : 3×2D working condition adaptation matrix (dimensionless), which is a preset calibration matrix; where The matrix coupling parameter has a range of values. It was calibrated based on 1000 sets of extreme temperature-impact test data; the matrix elements represent the coupling adaptation coefficients between different temperature zones and impact loads, with preset values ​​of [values ​​to be filled in]. They correspond to the low temperature zone (-60℃~-30℃), the medium temperature zone (-30℃~80℃), and the high temperature zone (80℃~120℃) respectively, to achieve layered adaptation to different extreme temperature conditions and impact loads; STF shear response threshold at time t (unit: The value per second (S / s) is a real-time calculation parameter. It is calculated by combining the real-time viscosity data of STF collected by the viscosity sensor with the built-in algorithm of the main control module. It directly reflects the critical shear rate at which the STF triggers the thickening response under the current working conditions and is the core control object of step three (dynamic correction of response threshold). The subscript "res" corresponds to "response", which fits the physical meaning of the parameter. Temperature partial derivative of shear response threshold (unit: (per second per degree Celsius), is a derived parameter; it characterizes the sensitivity of temperature change to the STF shear response threshold, obtained through real-time data acquisition. (Response threshold at time t) and The data is fitted, and then the partial derivative with respect to temperature is taken to quantify the influence of extreme temperatures on the response threshold; the subscript "res" corresponds to "response", which is completely consistent with the formula. : The temperature of the STF core layer (unit: ℃, degrees Celsius) is a real-time acquired parameter; it is acquired in real time through distributed temperature sensors (at least 3 sampling points per area) at a sampling frequency of 100Hz to ensure that temperature fluctuations under extreme temperatures are captured, covering the three extreme temperature ranges of low temperature, medium temperature and high temperature defined in the invention. Extreme temperature lower limit (unit: °C, degrees Celsius), is a preset fixed parameter; in line with the definition of the low temperature zone of the invention, it is fixed at -60 °C, used to define the lower limit of the integral of the temperature decay characteristic function, and adapts to the overall characteristics of the extreme temperature range; the subscript "min" corresponds to "minimum", which is completely consistent with the formula; The upper limit of extreme temperature (unit: °C, degrees Celsius) is a preset fixed parameter; in accordance with the definition of the high-temperature zone of the invention, it is fixed at 120 °C, used to define the upper limit of the integral of the temperature decay characteristic function, and... Together they constitute the extreme temperature integral interval; the subscript "max" corresponds to "maximum", which is completely consistent with the formula; : The rate of change of impact load at time t (unit: kPa / s), is a derived parameter; real-time impact load data collected by a pressure sensor. (unit Differentiation yields, i.e. It accurately captures the instantaneous changing trend of impact loads and is adapted to the dynamic recognition of light, medium and heavy impact levels. The performance degradation increment at any given time (unit: %, percentage) is a real-time calculated parameter; it is derived by comparing real-time performance data with standard benchmark data, and the core calculation formula is as follows: ;in Standard thickening range (preset baseline value). Real-time thickening rate (collected and calculated by viscosity sensor). Standard recovery time (preset baseline value). Real-time recovery time (calculated by viscosity sensor), with a value range of [value missing]. The self-repair process is triggered at any time (in accordance with the invention attenuation judgment threshold). Temperature decay characteristic function (unit: °C) -1 (per degree Celsius), is a preset fitting function; it is fitted based on experimental data of STF performance degradation at extreme temperatures (covering the entire range of -60℃ to 120℃), and the specific expression is: This is used to quantify the inherent characteristics of STF performance degradation at different temperatures, supporting the temperature adaptability correction of the integral term; the subscript "dec" corresponds to "decrement", which is completely consistent with the formula; Attention weight baseline mean (dimensionless), which is a preset calibration parameter; it is obtained by statistical calibration based on 1000 sets of extreme temperature-impact test data, and is fixed at 0.52. It is used for the baseline offset correction of the Gaussian exponential function to ensure the rationality of the weight output. Attention weight standard deviation (dimensionless), a preset calibration parameter; characterizes the dispersion of the hierarchical attention weight distribution, obtained statistically based on working condition test data, fixed at a preset value of 0.13, used to correct the fluctuation amplitude of the Gaussian exponential function, and adapt to the weight fluctuation characteristics under extreme working conditions. Self-repair status correction coefficient (dimensionless), a dynamically adaptable parameter; its value is adjusted in real time according to the system's working status: 1.0 for normal control (no self-repair, no emergency), 1.4 for self-repair in progress (including preparatory procedures), and 1.6 for emergency control. It is used to quantify the impact of self-repair status on attention weights, ensuring accurate weight allocation during the repair process; the subscript "rep" corresponds to "repair", which is completely consistent with the formula. In-situ calibration coefficient vector (dimension 1×3, dimensionless), representing real-time calibration parameters; calculated from data collected through in-situ shear tests, the vector consists of... For thickening amplitude calibration coefficient, To recover the time calibration coefficient, Used to correct measurement errors in real-time performance data and improve the accuracy of weight calculation; the subscript "cal" corresponds to "calibration", which is completely consistent with the formula; : The L2 norm (dimensionless) of the in-situ calibration coefficient vector, which is a derivation parameter; used for... The vector is normalized; the core calculation formula is as follows: This ensures that the impact of the calibration item on the weight output is within a reasonable range; the subscript "cal" corresponds to "calibration", which is completely consistent with the formula; Hyperbolic tangent function (dimensionless), used for correcting terms in self-healing states. Apply normalization constraints, with the value range being... To avoid distortion of weight output due to excessively large or small correction terms; the parameter subscripts must be completely consistent with the target formula; The natural exponential function (dimensionless) is used to construct a Gaussian distribution model, perform probabilistic mapping on the integral results of multi-factor coupling, quantify the fluctuation of multi-factor coupling on attention weights under extreme temperatures, and ensure that the weight output conforms to the probability distribution characteristics of the working conditions. : Definite integral (integral variable) Temperature sensitivity; Impact load change rate and performance degradation rate The cumulative effect captures the time-cumulative characteristics of operating condition changes and adapts to the periodicity of the invention's closed-loop control; the parameter subscripts are completely consistent with the target formula. Limit function: used to solve for the instantaneous rate of change of performance degradation, accurately capture the critical node of performance degradation, and provide accurate instantaneous data support for self-repair triggering.

[0025] Step 5: Repair Effect Verification and Threshold Calibration: After the self-repair process is initiated, the viscosity sensor continuously and frequently collects STF protective performance data, and monitors the recovery status of indicators such as STF thickening amplitude and recovery time in real time. The main control module dynamically compares the real-time data with the standard benchmark data under the corresponding working conditions to determine whether the repair effect meets the standard. When the STF protective performance attenuation is ≤5% and all performance indicators have recovered to the standard range, the repair is confirmed to be up to standard. The main control module immediately sends a command to stop the self-repair process, shuts down the self-repair execution module and the matching temperature control module. After the repair is completed, due to the change in STF performance status, the original shear response threshold can no longer accurately adapt to the current performance. The main control module initiates in-situ shear test, and performs in-situ performance test on STF under the current working conditions through a micro shear test component, collects real-time viscosity-shear rate data, corrects the STF shear response threshold under the current working conditions based on the test data, and updates the corrected threshold to the local database, replacing the original benchmark threshold. After the threshold calibration is completed, the system automatically returns to step two and re-enters the real-time operating condition data acquisition and analysis stage, forming a closed loop for stable regulation of STF protection performance under extreme temperatures, ensuring the long-term stable operation of the protection system. Steps one through five also include an emergency control step for extreme conditions: when an extreme temperature change or extreme impact load is detected, the STF shear response threshold is quickly adapted and a self-healing preparation program is initiated. After the condition is resolved, the normal control mode is restored to ensure stable protection performance under extreme scenarios. Extreme conditions include a temperature change ≥10℃ / min or an impact load exceeding the preset heavy impact threshold by 20%. The method for quickly adapting the shear response threshold is as follows: when a sudden drop in temperature is detected, the STF shear response threshold is immediately lowered by 20% to ensure rapid triggering of thickening protection. In summary, the present invention achieves this through... The core components, including the main control module, micro shear testing component, and local database, enable stable regulation of the performance of the shear-thickening intelligent protection system under extreme temperatures. This method not only automatically performs in-situ shear testing and corrects the shear response threshold based on changes in STF performance status, ensuring long-term stable operation of the protection system, but also possesses emergency regulation capabilities under extreme conditions. It can quickly adapt to the STF shear response threshold and initiate a self-healing preparatory procedure under sudden temperature changes or extreme impact loads, effectively guaranteeing stable protection performance in extreme scenarios.

[0026] Example 2 This embodiment aims to verify the feasibility, innovation, and superiority of the performance stability control method of the shear thickening intelligent protection system under extreme temperatures of the present invention. A standard test platform was built, and typical extreme temperature conditions (low temperature range -40℃, high temperature range 100℃, medium temperature range 25℃) and different impact levels (light, medium, heavy) were selected for comparative testing with existing technologies (traditional STF protection control methods without stratified control and differentiated self-repair). The test preparation and implementation process are as follows: Before the test, a control hardware platform adapted to the extreme temperature environment was built. The core of this platform includes: 3 sets of distributed extreme temperature adapted sensors (pressure sensor range 0-500kPa, accuracy ±0.5kPa; temperature sensor range -80℃~150℃, accuracy ±0.1℃; viscosity sensor range 0-1000Pa·s, accuracy ±1Pa·s), a temperature control module (temperature control range -80℃~150℃, temperature control accuracy ±0.3℃), and a self-repair module (including a micro vibration device, vibration frequency 20). The system includes a 120Hz microcapsule repair agent storage unit (the repair agent is polyurea-formaldehyde coated polyurethane prepolymer), a main control module (CPU frequency ≥ 2.4GHz, memory ≥ 8GB, supporting multi-data synchronous acquisition and real-time calculation), and an STF protective specimen (STF material is a nano-silica / polyethylene glycol composite system, specimen size 100mm×100mm×5mm, encapsulated in a high-temperature and low-temperature resistant composite film). Simultaneously, preset core control parameters include: impact grading (light impact 30kPa, medium impact 100kPa, heavy impact 200kPa), temperature zones (low temperature zone -60℃~-30℃, medium temperature zone -30℃~80℃, high temperature zone 80℃~120℃), and initial shear response threshold (low temperature zone light impact 10s). -1 , medium impact 18s -1 Heavy impact 25s -1 Medium temperature zone, light impact, 8 seconds -1 15 seconds of medium impact -1 Heavy impact 22s -1 Light impact in high-temperature zone for 12 seconds -1 20 seconds of medium impact -1 Heavy impact 28s -1 The system includes the following criteria: performance degradation judgment threshold (thickening amplitude decrease ≥20% or recovery time extension ≥30%), repair compliance standard (performance degradation amount ≤5%), emergency working condition judgment standard (sudden temperature change ≥10℃ / min or impact load exceeding the preset heavy impact threshold by 20%), and stores the STF protection performance standard benchmark data for each working condition (standard thickening amplitude 85%, standard recovery time 2.0s).

[0027] The experiment was conducted strictly following the steps of this invention, with a control group (existing technology) tested concurrently. Each operating condition was repeated three times, and the average value was taken as the experimental result. The first step was system initialization and parameter loading: the main control module was started, preset core control parameters and standard reference data were loaded, and self-checks and calibrations of the sensor, temperature control module, and self-repair module were completed to ensure normal operation of each module. The control group only loaded a fixed shear response threshold (regardless of temperature or impact level, uniformly set to 15s). -1 The first step involves a test chamber that simulates three extreme temperature conditions (low temperature -40℃, medium temperature 25℃, and high temperature 100℃). After the temperature stabilizes (fluctuation ≤ 0.3℃ / 10min), an impact load of the corresponding level is applied using an impact testing machine. Simultaneously, sensors are activated to collect impact load data, STF temperature data, and protective performance data (thickening amplitude and recovery time). The sampling frequency is 100Hz, and data is continuously collected for 30min. The main control module determines the "temperature-load" condition category in real time and compares it with standard data to evaluate the performance degradation status. The second step involves shock-temperature coordinated multi-level response threshold control: The main control module dynamically adapts the initial shear response threshold according to the determined condition category and corrects the threshold based on real-time protective performance feedback. For example, under the low temperature -40℃ light impact condition, the initial threshold is 10s. -1 If the thickening rate is only 70% (below the standard value), the threshold is lowered by 8% to 9.2s. -1 Under high temperature (100℃) and heavy impact conditions, the initial threshold is 28 seconds. -1 If excessive thickening is detected (viscosity exceeding 800 Pa·s), the threshold is increased by 10% to 30.8 s. -1 The control group maintained a fixed threshold for 15 seconds. -1No dynamic correction function. Step 4, performance degradation monitoring and precise self-repair triggering: Continuously monitor the performance degradation status after 300 impact cycles. When the thickening amplitude drops to 68% (20% degradation) or the recovery time increases to 2.6s (30% increase), a differentiated self-repair process is initiated: Under low temperature -40℃ light / medium impact conditions, the temperature is first raised by 6℃ to -34℃ through the temperature control module. After the temperature stabilizes, the vibration device is activated to output 40Hz low-frequency vibration, triggering the release of microcapsule repair agent; Under high temperature 100℃ heavy impact conditions, the vibration device is activated to output 100Hz high-frequency vibration, while the temperature is lowered by 4℃ to 96℃ through the temperature control module; Under medium temperature 25℃ arbitrary impact conditions, the vibration device is directly activated to output 60Hz medium-frequency vibration. During the repair period, the response threshold is lowered by 12% to ensure basic protection. The control group has no self-repair function and continues to run until the end of the test after performance degradation. Step 5, Repair Effect Verification and Threshold Calibration: After self-repair is initiated, the performance recovery is monitored in real time. When the thickening rate recovers to 81.7% (attenuation of 4%) and the recovery time recovers to 2.08s (attenuation of 4%), meeting the repair compliance standard, the self-repair process is stopped. The response threshold under the current operating conditions is calibrated through in-situ shear testing (e.g., the threshold after calibration at -40℃ with a light impact is 9.0s). -1 The standard baseline data is updated, and the process returns to step two to enter the next round of closed-loop control. During the experiment, an additional emergency condition was simulated (sudden drop in temperature, from -30℃ to -45℃ within 15 seconds, a temperature change of 10℃ / s). In this invention, the response threshold is rapidly lowered by 20%, and the self-repair preparation program is initiated. The control group, however, shows no emergency control and exhibits a delayed protective response. Throughout the entire experiment, core data such as the response threshold adaptation accuracy, performance degradation rate, self-repair effect, and emergency control effect of both groups are recorded simultaneously for subsequent comparative analysis.

[0028] This embodiment records experimental data using three sets of tables, comparing the differences between the present invention and existing technologies from three dimensions: response threshold adaptation performance, performance degradation and self-healing effect, and emergency control effect. Specific data are as follows: ; ; ; Based on the data in the three sets of tables above, the performance differences between the present invention and the prior art, as well as the beneficial effects, inventiveness, and novelty of the present invention, are analyzed as follows: First, from the comparison of response threshold adaptation performance in Table 1, the prior art uses a fixed shear response threshold and lacks temperature-shock condition adaptation and dynamic correction functions, resulting in serious adaptation errors under various extreme temperature conditions. This leads to response lag or over-thickening issues—a 100% response lag rate under low-temperature conditions, a 100% over-thickening rate under high-temperature heavy impact conditions, and a 30% response lag rate and a 20% over-thickening rate under medium-temperature conditions, with generally long response times (45ms-82ms), failing to meet the precise protection requirements under extreme temperatures. This invention, however, uses multi-level response threshold control based on impact and temperature coordination, combined with real-time performance feedback to dynamically correct the threshold. Under all conditions, the response threshold adaptation error is controlled within 1.2%, the response time is shortened to 28ms-35ms, and the rates of over-thickening and response lag are both zero. This significantly improves the adaptation accuracy and timely protection of the response threshold under extreme temperatures. This advantage stems from the invention's breakthrough of the existing "single fixed threshold" design limitation, innovatively constructing a hierarchical control logic of "condition identification - dynamic adaptation - real-time correction," solving the technical pain point of poor response threshold adaptability under the combined effects of extreme temperatures and impact loads, demonstrating novelty. Secondly, comparing the performance degradation and self-healing effects in Table 2, the existing technology lacks performance degradation monitoring and self-healing functions. After 300 impact cycles, the performance degradation rate under all operating conditions is as high as [missing information]. The thickening rate decreased significantly. Recovery time was significantly prolonged (3.5s). The performance degradation process takes 4.8 seconds and cannot be recovered after degradation, resulting in extremely poor long-term protection stability. In contrast, this invention continuously monitors the performance degradation status and initiates a differentiated self-repair process when the degradation threshold is reached, with a self-repair initiation time of only 0.5 seconds. 0.8s, repair time 10s After 15 seconds, the performance degradation rate was controlled within [a certain range]. The thickening rate has recovered to The recovery time is close to the standard value (2.05s). (2.09s) It achieves efficient and accurate repair after performance degradation, and ensures the continuity of basic protection by lowering the response threshold during the repair period. This effect breaks through the technical bottleneck of "separation between immediate protection and long-term durability" in existing technologies. It innovatively designs a differentiated self-repair strategy to adapt to different extreme temperature conditions, and solves the core problems of performance degradation that cannot be repaired and poor protection continuity after multiple impact cycles under extreme temperatures. Compared with the design concept of "one-time protection" in existing technologies, it has significant creativity and novelty. Finally, comparing the emergency control effects in Table 3, the existing technology lacks emergency condition identification and control functions. Under emergency conditions of sudden temperature drop and exceeding threshold impact, the response time is as long as 120ms, the number of protection failures is 3, and the performance degradation rate after the condition is lifted is as high as 62.0%, which is completely unable to cope with extreme and sudden conditions. In contrast, the present invention can quickly identify emergency conditions (emergency response time 22ms) through emergency control steps, and quickly adapt to the condition requirements by lowering the response threshold by 20%. During the emergency, the response time is only 40ms, there are no protection failures, and stable operation can be restored in 3.0s after the condition is lifted, with a performance degradation rate of only 6.0%, effectively ensuring the stability of protection under extreme and sudden conditions. This design fills the gap in the existing technology in the control of extreme emergency conditions and further demonstrates the inventiveness of the present invention.

[0029] In summary, the data in the three sets of tables fully demonstrate that this invention, through a complete closed-loop process including system initialization and parameter preset, real-time operating condition data acquisition and analysis, shock-temperature coordinated multi-level response threshold control, performance degradation monitoring and precise self-repair triggering, repair effect verification and threshold calibration, and emergency control, exhibits significant advantages over existing technologies in terms of response adaptation accuracy, long-term protection stability, and emergency protection capabilities of the shear thickening intelligent protection system under extreme temperatures. It creatively solves the technical pain points of existing technologies, such as poor response threshold adaptability, ineffective performance degradation repair, lack of emergency protection, and the disconnect between immediate protection and long-term durability. It novelly constructs a technical solution integrating multi-dimensional coordinated control and differentiated self-repair, providing a reliable guarantee for the stable operation of the STF intelligent protection system under extreme temperatures and possessing significant engineering application value.

[0030] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.

Claims

1. A method for stable performance control of a shear thickening intelligent protection system under extreme temperatures, characterized in that: Includes the following steps: Step 1: System Initialization and Parameter Preset: Build a control hardware platform adapted to extreme temperature environments. The hardware platform integrates sensors, temperature control modules, self-healing modules and main control modules. The main control module presets core control parameters such as impact grading, temperature zoning, shear response threshold, and performance degradation judgment threshold, and stores STF protection performance standard benchmark data. Step 2: Real-time operating condition data acquisition and analysis: Under extreme temperature conditions, the sensor collects impact load data, shear thickening fluid (STF) temperature data and STF protection performance data in real time. The main control module determines the current "temperature-load" operating condition category based on the collected data and compares it with the standard benchmark data to evaluate whether the STF protection performance has reached the preset attenuation judgment threshold. Step 3: Impact-Temperature Coordinated Multi-Level Response Threshold Control: The main control module dynamically adapts the initial shear response threshold of the STF according to the determined working condition category, and dynamically corrects the shear response threshold by combining real-time protection performance feedback data to ensure that the STF protection performance under extreme temperatures is accurately matched with the current protection requirements. Step 4: Performance degradation monitoring and precise self-repair triggering: Continuously monitor the STF performance degradation status after multiple impact cycles under extreme temperatures. When the STF protection performance is detected to reach the degradation judgment threshold, the main control module starts a differentiated self-repair process according to the current "temperature-load" conditions. During the self-repair process, the basic protection capability of the STF is maintained to ensure the continuity of protection. Step 5: Verification of Repair Effect and Threshold Calibration: Monitor the recovery of STF protection performance during the self-repair process in real time. After confirming that the performance meets the standard, stop the self-repair process, correct the STF shear response threshold under the current working condition through in-situ calibration, update the standard reference data, and return to Step 2 to form a closed loop for stable regulation of STF protection performance under extreme temperatures.

2. The method according to claim 1, wherein the method is characterized by: In step two, the impact classification includes three levels: light impact, medium impact, and heavy impact, and the temperature zoning includes three extreme temperature ranges: low temperature zone (-60℃ to -30℃), medium temperature zone (-30℃ to 80℃), and high temperature zone (80℃ to 120℃).

3. The method for stable performance control of a shear thickening intelligent protection system under extreme temperatures according to claim 1, characterized in that: In step one, the sensors include a pressure sensor, a temperature sensor, and a viscosity sensor adapted to extreme temperatures, which are used to collect impact load data, STF temperature data, and STF protection performance data, respectively.

4. The method for stable performance control of a shear thickening intelligent protection system under extreme temperatures according to claim 1, characterized in that: In step two, the protective performance data includes the thickening magnitude and recovery time of the STF, and the performance degradation judgment threshold is a decrease in the thickening magnitude of ≥20% or an increase in the recovery time of ≥30%.

5. The method for stable performance control of a shear thickening intelligent protection system under extreme temperatures according to claim 1, characterized in that: In step three, the shear response threshold is corrected as follows: when the STF thickening is insufficient to meet the protection requirements, the current shear response threshold is lowered by 5%-10%; when the STF thickening is excessive and affects the protection flexibility, the current shear response threshold is raised by 5%-10%.

6. The method for stable performance control of a shear thickening intelligent protection system under extreme temperatures according to claim 1, characterized in that: In step four, the differentiated self-repair process is specifically adapted to extreme temperature conditions, including low temperature zone (-60℃~-30℃) + light / medium impact conditions: first, the temperature control module is started to slightly increase the temperature of STF by 5-8℃. After the temperature stabilizes, the micro vibration device of the self-repair module is started to output low frequency vibration, triggering the release of microcapsule repair agent to complete self-repair. High temperature zone (80℃~120℃) + heavy impact condition: The micro vibration device of the self-healing module outputs high-frequency vibration to quickly trigger the release of microcapsule repair agent; at the same time, the temperature control module is activated to locally cool the STF by 3-5℃ to prevent the repair agent from failing due to high temperature; Medium temperature range (-30℃~80℃) + any impact condition: The micro vibration device of the self-healing module directly starts to output medium frequency vibration, triggering the release of microcapsule repair agent to complete self-healing, without the need for additional temperature control adjustment.

7. The method for stable performance control of a shear thickening intelligent protection system under extreme temperatures according to claim 1, characterized in that: In step four, during the repair process, basic protection capabilities are maintained by lowering the shear response threshold of the STF by 10%–15% to ensure that thickening protection can be quickly triggered in the event of a sudden impact.

8. The method for stable performance control of a shear thickening intelligent protection system under extreme temperatures according to claim 1, characterized in that: In step five, the repair compliance standard is that the STF protection performance attenuation is ≤5%, and the threshold calibration is achieved through in-situ shear test to ensure that the calibrated threshold is adapted to the current extreme temperature conditions.

9. The method for stable performance control of a shear thickening intelligent protection system under extreme temperatures according to claim 1, characterized in that: Steps one through five also include an emergency control step for extreme conditions: when an extreme temperature change or extreme impact load is detected, the system quickly adapts to the STF shear response threshold and initiates a self-healing preparation program. After the condition is resolved, the system returns to the normal control mode to ensure stable protection performance under extreme scenarios.

10. The method for stable performance control of a shear thickening intelligent protection system under extreme temperatures according to claim 9, characterized in that: The extreme operating conditions include a sudden temperature change ≥10℃ / min or an impact load exceeding a preset heavy impact threshold by 20%. The method for quickly adapting the shear response threshold is as follows: when a sudden drop in temperature is detected, the STF shear response threshold is immediately lowered by 20% to ensure rapid triggering of thickening protection.

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