Inflatable control method and device, equipment and storage medium of aerial work clothes

Abstract

The application belongs to the technical field of automatic control, and discloses an inflation control method and device, equipment and a storage medium for a high-altitude work suit. When it is detected that a compressed gas cylinder on the high-altitude work suit inflates a protective airbag, real-time collection of gas pressure sensing data and temperature sensing data in the compressed gas cylinder is performed. Deviation values of the gas pressure sensing data and standard gas pressure data and the temperature sensing data and standard temperature data are calculated. When any deviation value reaches a specified threshold value, a gas pressure change rate signal and a temperature change rate signal are obtained by differential calculation of the deviation values. The gas pressure change rate signal and the temperature change rate signal are fused to obtain a fused change rate signal. A target control parameter is obtained by inputting the fused change rate signal into a pre-trained prediction model. The inflation rate of the compressed gas cylinder is adjusted according to the target control parameter. Thus, through feedback of the pressure and temperature in the compressed gas cylinder, the inflation rate is adjusted in real time to avoid overinflation, reduce accidents, improve control accuracy and enhance safety performance.

Description

Technical Field

[0001] This invention belongs to the field of automatic control technology, specifically relating to an inflation control method, device, equipment, and storage medium for high-altitude work clothes. Background Technology

[0002] The working environment at heights is complex and unpredictable, placing higher demands on the safety protection of workers at heights. Traditional protective clothing for working at heights mainly relies on physical cushioning materials to reduce the impact of a fall, but in some extreme situations, this protection may not be sufficient to completely prevent injury, especially for critical areas such as the torso and neck.

[0003] Existing technologies propose solutions for installing airbag devices on high-altitude work clothes to provide stronger protection for these areas. These airbag devices can provide additional safety protection for workers during high-altitude operations, especially in emergency situations such as falls, by rapidly inflating the airbags to reduce the impact force on the torso and neck.

[0004] The inflation process should be completed in a very short time to ensure timely protection for workers. Therefore, the design of each component of the inflation system must not only meet technical parameter requirements but also consider reliability and safety in actual operation, improving the performance of workwear and ensuring worker safety. The core of this approach lies in precisely controlling the gas filling process to ensure a safe, effective, and compliant gas supply.

[0005] However, in practice, it has been found that existing inflation control methods simply monitor whether workers at height have fallen using sensors in real time. If a fall occurs, the compressed air cylinder is activated to inflate the airbag. However, this method does not consider whether the measured parameters (such as temperature and pressure) inside the compressed air cylinder are within safe ranges during the inflation process. Therefore, there are potential safety risks, resulting in insufficient control accuracy and safety performance of existing inflation control methods. Summary of the Invention

[0006] The purpose of this invention is to provide an inflation control method, device, equipment, and storage medium for high-altitude work clothes, which can ensure that the observations inside the compressed gas cylinder during the filling process are carried out within a safe range, thereby improving control accuracy and enhancing safety performance.

[0007] The technical solution of this invention is: an inflation control method for high-altitude work clothes, comprising the following steps:

[0008] S1. Acquire acceleration sensor data in real time, and automatically start the compressed air cylinder to inflate the protective airbag according to the acceleration sensor data;

[0009] S2. When it is detected that the compressed air cylinder on the high-altitude work suit is being activated to inflate the protective airbag, the air pressure sensor data and temperature sensor data in the compressed air cylinder are collected in real time.

[0010] S3. Calculate the first deviation value between the air pressure sensing data and the standard air pressure data, and calculate the second deviation value between the temperature sensing data and the standard temperature data. The formula for calculating the first deviation value is:

[0011] ΔP=P measured -P standard ,

[0012] Where ΔP represents the first deviation value, P neasured P represents barometric pressure sensor data. standard This represents standard atmospheric pressure data;

[0013] The formula for calculating the second deviation value is:

[0014] ΔT=T measured -T standard ,

[0015] Where ΔT represents the second deviation value, T measured Represents temperature sensing data, T standard This represents standard temperature data;

[0016] S4. When the first deviation value reaches a specified threshold or the second deviation value reaches a specified threshold, the pressure change rate signal is obtained by differentiating the first deviation value, and the temperature change rate signal is obtained by differentiating the second deviation value. The calculation formula for the pressure change rate signal is as follows:

[0017]

[0018] in, This represents the rate of change of air pressure, where t1 and t2 represent two adjacent time points, P measured (t2) represents the air pressure value collected at time t2, P measured (t1) represents the air pressure value collected at time t1, and ΔP represents the first deviation value;

[0019] The formula for calculating the temperature change rate signal is:

[0020]

[0021] in, T represents the rate of temperature change signal. measured (t2) represents the temperature value collected at time t2, T measured(t1) represents the temperature value collected at time t1, t1 and t2 represent two adjacent time points, and ΔT represents the second deviation value;

[0022] S5. Perform a weighted average fusion of the air pressure change rate signal and the temperature change rate signal to obtain a fused change rate signal; input the fused change rate signal into a pre-trained prediction model, and use the prediction model to predict the target control parameters. The expression for the weighted average fusion is:

[0023]

[0024] Among them, S fused The fusion weights are: α represents the fusion weight of the air pressure rate of change signal, and β represents the fusion weight of the temperature rate of change signal. This represents the rate of change of air pressure. The signal represents the rate of temperature change; the prediction model is an LSTM model, and the expression for the LSTM model is:

[0025] X = [S] fused (tn), S fused (t-n+1), ..., S fused (t)],

[0026] Y = LSTM(X, W) LSTM ),

[0027] Where X represents the input sequence, Y represents the target control parameter, and S... fused (tn) represents the fused rate of change signal n times ago, where t represents the current time, n represents the length of the time series, and S fused (t) represents the fusion rate of change signal at time t, W LSTM This represents the weight matrix of the LSTM model;

[0028] S6. Adjust the inflation rate of the compressed gas cylinder according to the target control parameters.

[0029] Furthermore, the method includes the following steps: acquiring water pressure sensing data and humidity sensing data collected by water pressure sensors and humidity sensors installed on the high-altitude work suit; based on the water pressure sensing data and humidity sensing data, when it is detected that a worker wearing the high-altitude work suit is in a state of falling into water, acquiring water depth sensing data collected by a water depth detector installed on the high-altitude work suit, and determining the water depth based on the water depth sensing data; when the water depth reaches a specified water depth, determining the target inflation rate based on the water depth, and controlling the compressed air cylinder to inflate at the target inflation rate; the calculation formula for the target inflation rate is:

[0030] R target=k·D water +R min

[0031] If D water ≥D threshold R target =R max ,

[0032] Among them, R target D represents the target inflation rate, k represents the proportionality coefficient between water depth and inflation rate, and D represents the target inflation rate. water R represents water depth. min D represents the minimum inflation rate. threshold R indicates the specified water depth. max This indicates the maximum inflation rate.

[0033] Furthermore, the method includes the following steps: before calculating the first deviation value between the air pressure sensing data and the standard air pressure data, obtaining the current environmental information and the compressed air cylinder model; then, based on the current environmental information and the compressed air cylinder model, performing a simulation analysis on the filling process of the compressed air cylinder of the high-altitude work suit; then, based on the simulation analysis results, predicting the expected pressure and expected temperature during the filling process; finally, determining the standard air pressure data based on the expected pressure and the standard temperature data based on the expected temperature; the simulation analysis specifically involves: using the Navier-Stokes equations to describe the gas flow and establishing a mathematical model, the expression of which is:

[0034]

[0035] Where ρ represents density, u represents velocity vector, t represents time, p represents pressure, and μ represents dynamic viscosity; the Navier-Stokes equations are discretized using the finite element method.

[0036] Furthermore, the method includes the following steps: after adjusting the inflation rate of the compressed gas cylinder according to the target control parameters, it is determined whether the first deviation value and the second deviation value have both changed from reaching a specified threshold to being less than a specified threshold and maintained for a specified duration; if not, the inflation mode of the compressed gas cylinder is switched to intermittent inflation mode.

[0037] An inflation control device for a high-altitude work suit using the aforementioned inflation control method comprises: a data acquisition unit, a first calculation unit, a second calculation unit, an optimization unit, and an adjustment unit. The data acquisition unit is connected to the first calculation unit, the first calculation unit is connected to the second calculation unit, the second calculation unit is connected to the optimization unit, and the optimization unit is connected to the adjustment unit. The data acquisition unit includes: a pressure sensor, a temperature sensor, a data processing module, and a data transmission module. The pressure sensor and the temperature sensor are mounted on a compressed air cylinder and are both connected to the data processing module. The data processing module is connected to the data transmission module, and the data transmission module is connected to the first calculation unit. The first calculation unit includes: a pressure and temperature deviation calculation module and... Data interface A is connected to the pressure and temperature deviation calculation module. Data interface A is also connected to the acquisition unit and the second calculation unit. The second calculation unit includes a rate of change calculation module and data interface B. The rate of change calculation module is connected to data interface B. Data interface B is connected to the first calculation unit and the optimization unit. The optimization unit includes a data fusion module and data interface C. The data fusion module is connected to data interface C. Data interface C is connected to the second calculation unit and the adjustment unit. The adjustment unit includes a pressure control valve, a controller, and data interface D. The pressure control valve is connected to the compressed gas cylinder and the controller. The controller is connected to data interface D. Data interface D is connected to the optimization unit.

[0038] Furthermore, it also includes: a first acquisition unit and a start-up unit, the first acquisition unit being connected to the start-up unit and the optimization unit respectively, the start-up unit being connected to the adjustment unit and the compressed gas cylinder respectively, the first acquisition unit including: an acceleration sensor, an acceleration data processing module and a data transmission module, the acceleration sensor being mounted on the work clothes and connected to the acceleration data processing module, the acceleration data processing module being connected to the data transmission module, the data transmission module being connected to the start-up unit and the optimization unit respectively, the start-up unit including: a fall event determination module, a control trigger module and a data interface E, the fall event determination module being connected to the control trigger module and the data interface E respectively, the control trigger module being connected to the data interface E, the data interface E being connected to the first acquisition unit, the adjustment unit and the compressed gas cylinder respectively.

[0039] Furthermore, it also includes: a second acquisition unit, a simulation unit, a prediction unit, and a determination unit. The second acquisition unit is connected to the simulation unit and the first calculation unit, respectively. The simulation unit is connected to the prediction unit, the prediction unit is connected to the determination unit, and the determination unit is connected to the first calculation unit. The second acquisition unit includes: an environmental sensor, a gas cylinder identification module, and a data interface F. The environmental sensor is mounted on the work clothes and is connected to the gas cylinder identification module and the data interface F, respectively. The gas cylinder identification module is mounted on the compressed gas cylinder and is connected to the data interface F, respectively. The data interface F is connected to the simulation unit and the first calculation unit, respectively. The simulation unit includes: a simulation engine module, a parameter input module, and a data interface G, respectively. The simulation engine module is connected to the parameter input module and the data interface G, respectively. The data interface G is connected to the parameter input module and the prediction unit, respectively. The prediction unit includes: a prediction algorithm module and a data interface H, respectively. The prediction algorithm module is connected to the data interface H, respectively. The data interface H is connected to the simulation unit and the determination unit, respectively. The determination unit includes: a standard calculation module and a data interface I, respectively. The standard calculation module is connected to the data interface I, respectively. The data interface I is connected to the prediction unit and the first calculation unit, respectively.

[0040] An electronic device for performing the inflation control method of the above-mentioned aerial work suit includes: a memory storing executable program code and a processor coupled to the memory; the processor calls the executable program code stored in the memory, and the executable program code performs the inflation control method of the aerial work suit.

[0041] A computer-readable storage medium for performing the inflation control method of the above-described aerial work suit, the computer-readable storage medium storing a computer program, wherein the computer program performs the inflation control method of the aerial work suit.

[0042] The beneficial effects of this invention are as follows: when the compressed air cylinder on the high-altitude work suit is detected to be inflating the protective airbag, real-time pressure and temperature sensor data from the compressed air cylinder are collected; the deviation values ​​between the pressure sensor data and standard pressure data, and between the temperature sensor data and standard temperature data are calculated; when any deviation value reaches a specified threshold, the differential calculation of the deviation value yields pressure change rate signals and temperature change rate signals; the pressure change rate signals and temperature change rate signals are fused to obtain a fused change rate signal, which is input into a pre-trained prediction model to predict target control parameters; the inflation rate of the compressed air cylinder is adjusted according to the target control parameters; thereby, through the feedback of pressure and temperature inside the compressed air cylinder, the inflation rate is adjusted in real time to avoid over-inflation, ensuring that the filling pressure and temperature inside the airbag are within a safe range during the filling process, reducing the occurrence of accidents, thereby improving control accuracy and enhancing safety performance. Attached Figure Description

[0043] The accompanying drawings illustrate specific examples of the technical solutions described in this invention and, together with the detailed embodiments, form part of the specification, serving to explain the technical solutions, principles, and effects of this invention.

[0044] Unless otherwise specified or defined, the same reference numerals in different figures represent the same or similar technical features, and different reference numerals may be used to represent the same or similar technical features.

[0045] Figure 1 This is a flowchart of an inflation control method for a high-altitude work suit according to the present invention;

[0046] Figure 2 This is a schematic diagram of the inflation control device for a high-altitude work suit according to the present invention.

[0047] Figure 3 This is a schematic diagram of an electronic device for implementing an inflation control method for high-altitude work clothes according to the present invention.

[0048] Explanation of reference numerals in the attached figures:

[0049] 201. Acquisition unit; 202. First calculation unit; 203. Second calculation unit; 204. Optimization unit; 205. Adjustment unit; 301. Memory; 302. Processor. Detailed Implementation

[0050] Unless otherwise specified or defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art. When combined with the technical solutions of the invention in a real-world scenario, all technical and scientific terms used herein may also have meanings corresponding to the purpose of achieving the technical solutions of the invention. The terms "first," "second," etc., used herein are merely for distinguishing names and do not represent a specific number or order. The term "and / or" as used herein includes any and all combinations of one or more of the associated listed items.

[0051] It should be noted that when a component is considered "fixed" to another component, it can be directly fixed to the other component or there can be an intervening component; when a component is considered "connected" to another component, it can be directly connected to the other component or there can be an intervening component; when a component is considered "mounted" on another component, it can be directly mounted on the other component or there can be an intervening component; when a component is considered "placed" on another component, it can be directly placed on the other component or there can be an intervening component.

[0052] Unless otherwise specified or defined, the terms "described" or "the" as used herein refer to the technical features or technical content mentioned or described prior to the relevant section, which may be the same as or similar to the technical features or technical content mentioned herein. Furthermore, the terms "comprising" and "having," and any variations thereof, as used herein, are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or apparatus that includes a series of steps or units is not limited to the steps or units listed, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to such processes, methods, products, or apparatus.

[0053] This invention discloses an inflation control method for aerial work suits, which can be implemented through computer programming. The execution subject of this method can be an electronic device such as a computer, laptop, or tablet, or an inflation control device for aerial work suits (hereinafter referred to as "inflation control device") embedded in an electronic device; this invention does not limit this. To facilitate understanding of this invention, specific embodiments will be described in more detail below with reference to the accompanying drawings.

[0054] To facilitate understanding of this invention, the structure of the aerial work suit is described first. The aerial work suit is equipped with a compressed air cylinder, a protective airbag, and an inflation control device. The valve of the compressed air cylinder is electrically connected to the inflation control device, which controls the operation of the compressed air cylinder. The gas outlet of the compressed air cylinder is connected to the inlet of the protective airbag. The protective airbag consists of a torso airbag and a neck airbag. The torso airbag is designed to conform to the curves of the human torso, tightly wrapping and supporting the torso after inflation. The neck airbag is designed as a ring structure surrounding the neck, effectively supporting and protecting the neck after inflation. Both airbags are made of high-strength, wear-resistant materials to ensure stable shape and sufficient cushioning after inflation.

[0055] like Figure 1 As shown, an inflation control method for a high-altitude work suit includes the following steps 110-150:

[0056] 110. When the compressed air cylinder on the high-altitude work suit is detected to inflate the protective airbag, the pressure and temperature data inside the compressed air cylinder are collected in real time.

[0057] In this embodiment of the invention, the interface of the compressed gas cylinder is made of stainless steel and is used to connect the compressed gas cylinder and the protective airbag to ensure sealing. The compressed gas cylinder is also equipped with a control valve, a pressure sensor, and a temperature sensor. The control valve can be made of aluminum alloy to control the gas flow and prevent overpressure; the pressure sensor can be made of carbon fiber composite material to monitor the pressure inside the gas cylinder and ensure filling safety; and the temperature sensor can be made of copper-based alloy to monitor the temperature inside the gas cylinder and prevent overheating hazards.

[0058] It should be noted that as the filling time increases, the temperature at both the top and bottom of the gas cylinder gradually rises, but the bottom temperature rises at a faster rate. This phenomenon indicates that special attention needs to be paid to temperature control at the bottom of the gas cylinder during the compressed gas filling process to avoid material damage or safety issues caused by excessive temperature. Therefore, the temperature sensor is preferably located at the bottom of the compressed gas cylinder.

[0059] As an optional implementation, the aerial work suit is also equipped with a user control panel, so that when the filling start command is detected on the user control panel, the compressed air cylinder can be automatically started to inflate the protective airbag.

[0060] Alternatively, sensors can monitor the status of workers at height in real time, automatically determining whether to activate protective airbags; and intelligently adjusting the inflation speed and deployment shape of the airbags according to the actual situation to achieve the best protective effect. Specifically, accelerometers are also installed on the work suits to acquire acceleration data in real time. When a fall is detected based on the acceleration data, the compressed air cylinder is automatically activated to inflate the protective airbags.

[0061] Furthermore, the high-altitude work suit can also be equipped with a water pressure sensor, a humidity sensor, and a water depth detector. Therefore, when a fall is detected based on acceleration sensor data, the compressed air cylinder automatically inflates the protective airbag. Simultaneously, water pressure and humidity data collected by the water pressure and humidity sensors can be acquired. Based on this data, it can be used to detect whether the worker wearing the high-altitude work suit has fallen into the water. Once a fall is confirmed, water depth data collected by the water depth detector is acquired. The water depth is determined based on this data. When the water depth reaches a specified depth, a target inflation rate is determined based on the water depth, and the compressed air cylinder is controlled to inflate at the target inflation rate. The formula for calculating the target inflation rate is:

[0062] R target =k·D water +R min

[0063] If D water ≥D threslod Rtarget =R max ,

[0064] Among them, R target D represents the target inflation rate, k represents the proportionality coefficient between water depth and inflation rate, and D represents the target inflation rate. water R represents water depth. min D represents the minimum inflation rate. threshold R indicates the specified water depth. max This indicates the maximum inflation rate.

[0065] Specifically, if the humidity sensor data determines that the current humidity has reached a specified value, and the water pressure sensor data determines that the current water pressure has reached a specified value, then the worker wearing high-altitude work clothes is determined to be in a state of falling into the water. The specified humidity value can be set to 40%, 50%, or 60%, the specified water pressure value can be set to 3 kPa, 4 kPa, or 5 kPa, and the specified depth can be set to 0.2 or 0.4 m. The target inflation rate is positively correlated with the water depth; that is, the greater the water depth, the greater the corresponding target inflation rate.

[0066] Optionally, the high-altitude work suit can also be equipped with vital sign sensors. The vital sign data collected by these sensors can be processed. Specifically, the collected vital sign data is divided into time segments using a sliding window. The data within each window is smoothed and filtered to obtain denoised data. Feature extraction is then performed on the denoised data to obtain feature information. This feature information is input into a pre-trained classification model. Based on the model's prediction results, the life coefficient of the person who fell into the water is determined. The corresponding current vital signs are then determined based on the life coefficient, and the current vital signs and alarm information are sent to a linked mobile terminal. The life coefficient characterizes the current vital signs; a higher life coefficient indicates more pronounced vital signs.

[0067] 120. Calculate the first deviation between the barometric pressure sensor data and the standard barometric pressure data, and calculate the second deviation between the temperature sensor data and the standard temperature data; the formula for calculating the first deviation is:

[0068] ΔP=P measured -P standard ,

[0069] Where ΔP represents the first deviation value, P measured P represents barometric pressure sensor data. standard This represents standard atmospheric pressure data;

[0070] The formula for calculating the second deviation value is:

[0071] ΔT=T measured -Tstandard ,

[0072] Where ΔT represents the second deviation value, T measured Represents temperature sensing data, T standard This represents standard temperature data.

[0073] For both pressure and temperature sensing data, corresponding standard pressure and temperature data are set. Therefore, it is necessary to calculate the deviation between each pressure and temperature sensing data and its corresponding standard pressure and temperature data.

[0074] As an optional implementation, the standard air pressure data and standard temperature data can be fixed thresholds preset by the user according to specific needs, or dynamic thresholds determined based on current environmental information and compressed gas cylinder model. When the standard air pressure data and standard temperature data are dynamic thresholds, their acquisition method may include the following steps S11 to S14 (not shown):

[0075] S11. Obtain current environmental information and compressed gas cylinder model.

[0076] Because compressed gas cylinders experience different physical loads under varying environmental conditions, the current environmental information needs to be considered during the simulation analysis of the filling process of compressed gas cylinders in high-altitude work suits. This current environmental information can be obtained by environmental sensors installed on the high-altitude work suits, including smoke detectors, wind speed detectors, humidity detectors, rainfall detectors, and natural disaster early warning devices. The current environmental information includes external environmental data such as smoke, wind speed, humidity, rainfall probability, and natural disaster information.

[0077] Furthermore, as a high-pressure container, the performance parameters of compressed gas cylinders are crucial for ensuring safety and efficiency. Common compressed gas cylinder parameters include working pressure, volume, material, and dimensions. Table 1 below shows the main parameters of several commonly used compressed gas cylinders:

[0078] Table 1 Main parameters of commonly used compressed gas cylinders

[0079] C30 30 30 steel 300x300x350 D40 40 40 aluminum alloy 400x400x450 E50 50 50 Stainless steel 500x500x550

[0080] As shown in Table 1 above, different models of compressed gas cylinders vary in working pressure, volume, material, and size. Working pressure refers to the maximum pressure a compressed gas cylinder can withstand under normal operating conditions, while volume determines the amount of gas the cylinder can store. Regarding materials, different compressed gas cylinders are made from different materials depending on the requirements of their application, such as steel, aluminum alloy, or stainless steel, to ensure the cylinder's strength and corrosion resistance. Size directly affects the cylinder's portability and ease of use.

[0081] Therefore, in the simulation analysis of the filling process of the compressed air cylinder of the high-altitude work clothes, it is necessary to consider the various main parameters corresponding to the current compressed air cylinder model, especially the working pressure.

[0082] S12. Based on the current environmental information and the compressed air cylinder model, conduct a simulation analysis of the filling process of the compressed air cylinder of the high-altitude work suit.

[0083] A mathematical model of the filling process of compressed gas cylinders for high-altitude work was established by simulating the high-altitude work environment. The pressure distribution and temperature changes during the filling process were obtained through computer simulation. Specifically, to simplify the problem, the following assumptions were made: the inside of the compressed gas cylinder is an ideal fluid, and its viscosity is ignored; the internal temperature of the cylinder is uniform; and external conditions (such as temperature and pressure) remain constant during the filling process. Furthermore, the compressed gas cylinder is considered a closed container filled with gas. Considering the flow state of the gas, the continuous medium hypothesis is adopted, assuming that there are no gaps between gas particles, and it can be treated as a continuous medium.

[0084] Then, based on the above assumptions, the Navier-Stokes equations can be used to describe gas flow and establish a mathematical model. For incompressible fluids, the Navier-Stokes equations simplify to the following equation (1):

[0085]

[0086] Where ρ is density, u is velocity vector, t is time, p is pressure, and μ is dynamic viscosity.

[0087] To build the model, appropriate boundary and initial conditions need to be defined. For example, the gas cylinder inlet can be set to a constant pressure or constant flow rate, while the outlet can be set to an open boundary or a set pressure. Initial conditions typically include the initial pressure and temperature distribution inside and outside the gas cylinder.

[0088] The solution method employs the finite element method (FEM) to discretize the above equations. By meshing and applying appropriate boundary and initial conditions, the model can be solved using commercial software (such as ANSYS Fluent).

[0089] S13. Based on the simulation analysis results, predict the expected pressure and temperature during the filling process.

[0090] S14. Determine the standard atmospheric pressure data based on the expected pressure, and determine the standard temperature data based on the expected temperature.

[0091] The expected pressure can be directly used as the standard atmospheric pressure data, and the expected temperature can be directly used as the standard temperature data. Alternatively, the standard atmospheric pressure data can be further calculated from the expected pressure, and the standard temperature data can be further calculated from the expected temperature.

[0092] 130. When the first deviation value reaches a specified threshold or the second deviation value reaches a specified threshold, the pressure change rate signal is obtained by differentiating the first deviation value, and the temperature change rate signal is obtained by differentiating the second deviation value; the calculation formula for the pressure change rate signal is as follows:

[0093]

[0094] in, This represents the rate of change of air pressure, where t1 and t2 represent two adjacent time points, P measured (t2) represents the air pressure value collected at time t2, P measured (t1) represents the air pressure value collected at time t1, and ΔP represents the first deviation value;

[0095] The formula for calculating the temperature change rate signal is:

[0096]

[0097] in, T represents the rate of temperature change signal. measured (t2) represents the temperature value collected at time t2, T measured (t1) represents the temperature value collected at time t1, t1 and t2 represent two adjacent time points, and ΔT represents the second deviation value.

[0098] When either the first or second deviation value reaches a specified threshold, the sensor data is determined to be outside the safe range, constituting an abnormal situation. Further prediction using a predictive model to forecast control variables is then necessary. Additionally, an alarm can be issued when the sensor data is determined to be outside the safe range to alert the operator. Through these fault self-checking and alarm functions, potential problems can be detected and addressed promptly, enabling real-time monitoring of the compressed gas cylinder's operating status and timely detection and warning of potential safety hazards.

[0099] 140. Perform weighted average fusion of the air pressure change rate signal and the temperature change rate signal to obtain a fused change rate signal; input the fused change rate signal into a pre-trained prediction model, and use the prediction model to predict the target control parameters; the expression for the weighted average fusion is:

[0100]

[0101] Among them, S fusedThe fusion weights are: α represents the fusion weight of the air pressure rate of change signal, and β represents the fusion weight of the temperature rate of change signal. This represents the rate of change of air pressure. The signal represents the rate of temperature change; the prediction model is an LSTM model, and the expression for the LSTM model is:

[0102] X = [S] fused (tn), S fused (t-n+1), ..., S fused (t)],

[0103] Y = LSTM(X, W) LSTM ),

[0104] Where X represents the input sequence, Y represents the target control parameter, and S... fused (tn) represents the fused rate of change signal n times ago, where t represents the current time, n represents the length of the time series, and S fused (t) represents the fusion rate of change signal at time t, W LSTM This represents the weight matrix of the LSTM model.

[0105] The pressure change rate signal and the temperature change rate signal can be represented by vectors. By concatenating and fusing these two vectors, a unified vector, i.e., the fused change rate signal, can be obtained. The target control parameter is used to adjust the opening of the control valve of the compressed gas cylinder. By adjusting the valve opening, the flow rate of the compressed gas cylinder can be adjusted, thereby affecting its filling rate.

[0106] In this invention, machine learning algorithms are used to train the prediction model. Before training, historical sensor data from the compressed gas cylinder during a specified period of time needs to be collected, such as historical pressure and temperature sensor data. This historical sensor data provides the foundation for subsequent machine learning. After collecting the historical sensor data, feature engineering is required, that is, converting the historical sensor data into a data format suitable for machine learning to obtain feature vectors with temporal relationships. For example, a sliding window approach can be used to extract continuous data points from the historical sensor data as feature vectors. Then, a fuzzy control model can be selected, or a deep learning model, such as a recurrent neural network (RNN), can be tried. By selecting a suitable model and inputting the feature vectors for training, a prediction model can be obtained, which is used to predict control parameters based on real-time sensor data.

[0107] It should be noted that the working principle of the fuzzy control model is mainly based on fuzzy logic and fuzzy set theory, achieving system control by simulating the human decision-making process. First, it is necessary to determine the observables (such as temperature and pressure inside the compressed gas cylinder) and control variables (such as the opening degree of the control valve on the compressed gas cylinder). Second, the input observables and output control variables are fuzzified using membership functions to establish fuzzy control rules. These rules describe the relationship between input and output variables; for example, "if the temperature inside the compressed gas cylinder is high, then reduce the opening degree of the control valve." Finally, fuzzy inference is performed based on the established fuzzy control rules, enabling the acquisition of target control parameters through fuzzy logic operations based on the fused rate of change signal of the current input. In this invention, predicting the target control parameters using fuzzy control methods can improve robustness, anti-interference, and adaptability.

[0108] 150. Adjust the inflation rate of the compressed gas cylinder according to the target control parameters.

[0109] As an optional implementation, after performing step 150, the following steps 161-162 (not shown) may also be performed:

[0110] 161. Determine whether both the first deviation value and the second deviation value have changed from reaching the specified threshold to being less than the specified threshold, and maintained for the specified duration. If yes, end this process; otherwise, proceed to step 162.

[0111] If yes, it means that both the air pressure sensor data and the temperature sensor data have returned to a safe range; otherwise, it means that neither the air pressure sensor data nor the temperature sensor data have returned to a safe range.

[0112] 162. Switch the filling mode of the compressed gas cylinder to intermittent filling mode.

[0113] The compressed gas cylinders offer various filling modes, including but not limited to continuous filling, intermittent filling, and pressure-preset filling, to meet the needs of different operating conditions. Users can select the appropriate filling mode according to their specific requirements and easily configure relevant parameters, such as filling pressure and filling rate, through the interface.

[0114] Compressed gas cylinders are typically operated on a continuous filling basis. However, when the pressure and temperature sensor data fail to return to safe levels, adjusting the filling mode to intermittent filling mode can slow down the continued rise in pressure and temperature inside the compressed gas cylinder, thereby reducing the occurrence of accidents.

[0115] In some embodiments, the expansion speed and shape change data of the protective airbag during the inflation process can also be acquired. After the compressed air cylinder has inflated the protective airbag, the average inflation time of the protective airbag is calculated based on the expansion speed and shape change data during the inflation process. If the average inflation time does not meet the preset response conditions, an alert message is output. The aerial work suit can be equipped with a remote network interface, which allows it to wirelessly connect to a remote monitoring device. Specifically, the aerial work suit can transmit the alert message to the remote monitoring device. Furthermore, the aerial work suit can also transmit real-time pressure and temperature sensor data collected during the inflation process from the compressed air cylinder to the remote monitoring device for real-time monitoring. Operators can view the system status and set or adjust parameters through the monitoring device, greatly improving operational convenience and management efficiency.

[0116] It's important to note that in emergency situations, airbags must be able to inflate rapidly to provide immediate protection. Therefore, high demands are placed on the airbag's response time to ensure that the protective mechanism can be activated immediately at critical moments. Real-time evaluation of the airbag's inflation response time performance can reveal potential weaknesses and areas for improvement.

[0117] Alternatively, the average dilation time can also be used to characterize the prediction performance of the prediction model. If the average dilation time does not meet the preset response conditions, it indicates that the prediction performance of the prediction model is not good enough. The network structure or hyperparameters of the prediction model can be adjusted and optimized based on the average dilation time.

[0118] In summary, by implementing the embodiments of the present invention, the filling parameters are adjusted through a feedback mechanism based on the closed-loop control principle to ensure that key parameters such as pressure and temperature remain stable within the set range. The pressure sensor monitors the internal pressure of the gas cylinder in real time, and the temperature sensor monitors the temperature of the gas cylinder. When any parameter is detected to exceed the preset range, the control system will automatically adjust the filling rate or suspend filling until the parameter returns to normal.

[0119] Furthermore, the target control parameters obtained through fuzzy control optimization exhibit strong robustness, good anti-interference capabilities, and strong adaptability.

[0120] like Figure 2As shown, an inflation control device for a high-altitude work suit using the above-mentioned inflation control method includes: a data acquisition unit 201 (used to acquire in real time the air pressure sensing data and temperature sensing data in the compressed air cylinder when the compressed air cylinder on the high-altitude work suit is detected to be inflating the protective airbag), a first calculation unit 202 (used to calculate a first deviation value between the air pressure sensing data and the standard air pressure data, and to calculate a second deviation value between the temperature sensing data and the standard temperature data), and a second calculation unit 203 (used to adjust the first deviation value slightly when the first deviation value reaches a specified threshold or the second deviation value reaches a specified threshold). The system comprises: a pressure change rate signal obtained by partial calculation, and a temperature change rate signal obtained by differential calculation of the second deviation value; an optimization unit 204 (used to fuse the pressure change rate signal and the temperature change rate signal to obtain a fused change rate signal; inputting the fused change rate signal into a pre-trained prediction model to predict the target control parameters); and an adjustment unit 205 (used to adjust the filling rate of the compressed gas cylinder according to the target control parameters). The acquisition unit 201 is connected to the first calculation unit 202, the first calculation unit 202 is connected to the second calculation unit 203, and the second calculation unit 203 is connected to the optimization unit 204. Unit 204 is connected to adjustment unit 205. The acquisition unit 201 includes a pressure sensor, a temperature sensor, a data processing module, and a data transmission module. The pressure sensor and temperature sensor are mounted on the compressed gas cylinder and are both connected to the data processing module. The data processing module is connected to the data transmission module. The data transmission module is connected to the first calculation unit 202. The first calculation unit 202 includes a pressure and temperature deviation calculation module and a data interface A. The pressure and temperature deviation calculation module is connected to the data interface A. The data interface A is connected to both the acquisition unit 201 and the second calculation unit 203. 3 includes: a rate of change calculation module and a data interface B. The rate of change calculation module is connected to the data interface B. The data interface B is connected to the first calculation unit 202 and the optimization unit 204. The optimization unit 204 includes: a data fusion module and a data interface C. The data fusion module is connected to the data interface C. The data interface C is connected to the second calculation unit 203 and the adjustment unit 205. The adjustment unit 205 includes: a pressure control valve, a controller, and a data interface D. The pressure control valve is connected to the compressed gas cylinder and the controller. The controller is connected to the data interface D. The data interface D is connected to the optimization unit 204.

[0121] Furthermore, it also includes: a first acquisition unit (for acquiring acceleration sensor data in real time) and a start-up unit (for automatically starting the compressed air cylinder to inflate the protective airbag when a personnel fall event is determined based on the acceleration sensor data). The first acquisition unit is connected to the start-up unit and the optimization unit respectively. The start-up unit is connected to the adjustment unit and the compressed air cylinder respectively. The first acquisition unit includes: an acceleration sensor, an acceleration data processing module, and a data transmission module. The acceleration sensor is installed on the work clothes and connected to the acceleration data processing module. The acceleration data processing module is connected to the data transmission module. The data transmission module is connected to the start-up unit and the optimization unit 204 respectively. The start-up unit includes: a fall event determination module, a control trigger module, and a data interface E. The fall event determination module is connected to the control trigger module and the data interface E respectively. The control trigger module is connected to the data interface E respectively. The data interface E is connected to the first acquisition unit, the adjustment unit 205, and the compressed air cylinder respectively.

[0122] Furthermore, it also includes: a second acquisition unit (used to acquire current environmental information and compressed gas cylinder model before the first calculation unit 202 calculates the first deviation value between the air pressure sensing data and the standard air pressure data), a simulation unit (used to perform simulation analysis on the filling process of the compressed gas cylinder of the high-altitude work suit based on the current environmental information and the compressed gas cylinder model), a prediction unit (used to predict the expected pressure and expected temperature during the filling process based on the simulation analysis results), and a determination unit (used to determine the standard air pressure data based on the expected pressure and the standard temperature data based on the expected temperature). The second acquisition unit is connected to the simulation unit and the first calculation unit 202 respectively. The simulation unit is connected to the prediction unit, the prediction unit is connected to the determination unit, and the determination unit is connected to the first calculation unit 202. The second acquisition unit includes: an environmental sensor, a gas cylinder identification module, and a data interface. The environmental sensor is mounted on the work clothes and connected to the gas cylinder identification module and the data interface F. The gas cylinder identification module is mounted on the compressed gas cylinder and connected to the data interface F. The data interface F is connected to the simulation unit and the first calculation unit 202. The simulation unit includes a simulation engine module, a parameter input module, and a data interface G. The simulation engine module is connected to the parameter input module and the data interface G. The data interface G is connected to the parameter input module and the prediction unit. The prediction unit includes a prediction algorithm module and a data interface H. The prediction algorithm module is connected to the data interface H. The data interface H is connected to the simulation unit and the determination unit. The determination unit includes a standard calculation module and a data interface I. The standard calculation module is connected to the data interface I. The data interface I is connected to the prediction unit and the first calculation unit 202.

[0123] As an optional implementation, the above-described inflation control device further includes the following units (not shown):

[0124] The water fall detection unit is used to acquire water pressure and humidity sensor data collected by the water pressure sensor and humidity sensor installed on the high-altitude work suit when a personnel fall event is determined based on acceleration sensor data and after the activation unit automatically starts the compressed air cylinder to inflate the protective airbag; if the water pressure and humidity sensor data detect that the worker wearing the high-altitude work suit is in a state of falling into water, it acquires water depth sensor data collected by the water depth detector installed on the high-altitude work suit, and determines the water depth based on the water depth sensor data;

[0125] The control unit is used to determine the target inflation rate based on the water depth when the water depth reaches a specified depth, and control the compressed air cylinder to inflate according to the target inflation rate.

[0126] As an optional implementation, the above-described inflation control device further includes the following units (not shown):

[0127] The judgment unit is used to determine whether, after the adjustment unit 205 adjusts the inflation rate of the compressed gas cylinder according to the target control parameters, the first deviation value and the second deviation value both change from reaching the specified threshold to being less than the specified threshold and remain for a specified duration.

[0128] The switching unit is used to switch the filling mode of the compressed gas cylinder to the intermittent filling mode when the judgment result of the judgment unit is negative.

[0129] like Figure 3 As shown, an electronic device for performing the above-mentioned inflation control method for high-altitude work clothes includes: a memory 301 storing executable program code and a processor 302 coupled to the memory 301;

[0130] The processor 302 calls the executable program code stored in the memory 301 to execute the inflation control method of the high-altitude work clothes described in the above embodiments.

[0131] The present invention also discloses a computer-readable storage medium for performing the inflation control method of the above-mentioned high-altitude work suit, the computer-readable storage medium storing a computer program, wherein the computer program performs the inflation control method of the high-altitude work suit.

[0132] The purpose of the above embodiments is to reproduce and derive the technical solution of the present invention by way of example, and to fully describe the technical solution, purpose and effect of the present invention. The purpose is to enable the public to have a more thorough and comprehensive understanding of the disclosure of the present invention, and not to limit the scope of protection of the present invention.

[0133] The above embodiments are not an exhaustive list based on the present invention, and there may be many other embodiments not listed. Any substitutions and improvements made without departing from the concept of the present invention are within the protection scope of the present invention.

Claims

1. A method for controlling the inflation of a high-altitude work suit, characterized in that, Includes the following steps: S1. Acquire acceleration sensor data in real time, and automatically start the compressed air cylinder to inflate the protective airbag according to the acceleration sensor data; S2. When it is detected that the compressed air cylinder on the high-altitude work suit is being activated to inflate the protective airbag, the air pressure sensor data and temperature sensor data in the compressed air cylinder are collected in real time. S3. Calculate the first deviation value between the air pressure sensing data and the standard air pressure data, and calculate the second deviation value between the temperature sensing data and the standard temperature data. The formula for calculating the first deviation value is: ， in, ΔP This represents the first deviation value. P measured This represents barometric pressure sensor data. P standard This represents standard atmospheric pressure data; The formula for calculating the second deviation value is: ， in, ΔT This represents the second deviation value. T measured This represents temperature sensor data. T standard This represents standard temperature data; S4. When the first deviation value reaches a specified threshold or the second deviation value reaches a specified threshold, the pressure change rate signal is obtained by differentiating the first deviation value, and the temperature change rate signal is obtained by differentiating the second deviation value. The calculation formula for the pressure change rate signal is as follows: ， in, This represents the rate of change of air pressure. t 1 and t 2 These represent two adjacent points in time. Indicates in t 2 The air pressure values ​​collected at all times. Indicates in t 1 The air pressure values ​​collected at all times. ΔP Indicates the first deviation value; The formula for calculating the temperature change rate signal is: ， in, This represents the rate of temperature change signal. Indicates in t 2 Temperature values ​​collected at all times Indicates in t 1 Temperature values ​​collected at all times t 1 and t 2 These represent two adjacent points in time. ΔT Indicates the second deviation value; S5. Perform a weighted average fusion of the air pressure change rate signal and the temperature change rate signal to obtain a fused change rate signal; input the fused change rate signal into a pre-trained prediction model, and use the prediction model to predict the target control parameters. The expression for the weighted average fusion is: ， in, The fusion weights are: α represents the fusion weight of the air pressure rate of change signal, and β represents the fusion weight of the temperature rate of change signal. This represents the rate of change of air pressure. This represents the rate of temperature change signal; The prediction model is an LSTM model, and the expression of the LSTM model is: ， ， in, X Represents the input sequence. Y Indicates the target control parameters. express n The fused rate of change signal from a given time point. t Indicates the current moment. n Indicates the length of the time series. Indicates at time t The fusion rate of change signal W LSTM This represents the weight matrix of the LSTM model; S6. Adjust the inflation rate of the compressed gas cylinder according to the target control parameters.

2. The inflation control method for high-altitude work clothes according to claim 1, characterized in that, It also includes the following steps: The system acquires water pressure and humidity sensing data from water pressure and humidity sensors mounted on the aerial work suit. Based on this data, when a worker wearing the aerial work suit is detected to be in water, the system acquires water depth sensing data from a water depth detector mounted on the suit and determines the water depth. When the water depth reaches a specified depth, the system determines a target inflation rate and controls the compressed air cylinder to inflate at the target rate. The formula for calculating the target inflation rate is as follows: ， in, R target Indicates the target inflation rate. k This represents the proportionality coefficient between water depth and inflation rate. D water Indicates water depth. R min Indicates the minimum inflation rate. D threshold Indicates the specified water depth. R max This indicates the maximum inflation rate.

3. The inflation control method for high-altitude work clothes according to claim 1, characterized in that, It also includes the following steps: Before calculating the first deviation between the pressure sensor data and the standard pressure data, the current environmental information and the compressed air cylinder model are obtained. Then, based on the current environmental information and the compressed air cylinder model, a simulation analysis is performed on the filling process of the compressed air cylinder for high-altitude work clothes. Based on the simulation analysis results, the expected pressure and expected temperature during the filling process are predicted. Finally, the standard pressure data is determined based on the expected pressure, and the standard temperature data is determined based on the expected temperature. Specifically, the simulation analysis involves using the Navier-Stokes equations to describe gas flow and establishing a mathematical model. The expression for the Navier-Stokes equations is: ， in, Indicates density, Represents the velocity vector. Indicates time, Indicates pressure, The dynamic viscosity is represented by the finite element method, which is used to discretize the Navier-Stokes equations.

4. The inflation control method for high-altitude work clothes according to claim 1, characterized in that, It also includes the following steps: After adjusting the inflation rate of the compressed gas cylinder according to the target control parameters, it is determined whether the first deviation value and the second deviation value have both changed from reaching the specified threshold to being less than the specified threshold and maintained for a specified duration; if not, the filling mode of the compressed gas cylinder is switched to intermittent filling mode.

5. An inflation control device for a high-altitude work suit using the inflation control method of claim 1, characterized in that, include: The system comprises a data acquisition unit (201), a first calculation unit (202), a second calculation unit (203), an optimization unit (204), and an adjustment unit (205). The data acquisition unit (201) is connected to the first calculation unit (202), the first calculation unit (202) is connected to the second calculation unit (203), the second calculation unit (203) is connected to the optimization unit (204), and the optimization unit (204) is connected to the adjustment unit (205). The data acquisition unit (201) includes a pressure sensor, a temperature sensor, a data processing module, and a data transmission module. The pressure sensor and the temperature sensor are mounted on a compressed gas cylinder and are both connected to the data processing module. The data processing module is connected to the data transmission module, and the data transmission module is connected to the first calculation unit (202). The first calculation unit (202) includes a pressure and temperature deviation calculation module and a data interface A. The difference calculation module is connected to data interface A. Data interface A is connected to the acquisition unit (201) and the second calculation unit (203). The second calculation unit (203) includes a rate of change calculation module and data interface B. The rate of change calculation module is connected to data interface B. Data interface B is connected to the first calculation unit (202) and the optimization unit (204). The optimization unit (204) includes a data fusion module and data interface C. The data fusion module is connected to data interface C. Data interface C is connected to the second calculation unit (203) and the adjustment unit (205). The adjustment unit (205) includes a pressure control valve, a controller and a data interface D. The pressure control valve is connected to the compressed gas cylinder and the controller. The controller is connected to data interface D. Data interface D is connected to the optimization unit (204).

6. The inflation control device for high-altitude work clothes according to claim 5, characterized in that, Also includes: The first acquisition unit and the start-up unit are respectively connected to the start-up unit and the optimization unit (204). The start-up unit is respectively connected to the adjustment unit and the compressed gas cylinder. The first acquisition unit includes: an acceleration sensor, an acceleration data processing module and a data transmission module. The acceleration sensor is set on the work clothes and connected to the acceleration data processing module. The acceleration data processing module is connected to the data transmission module. The data transmission module is respectively connected to the start-up unit and the optimization unit (204). The start-up unit includes: a fall event determination module, a control trigger module and a data interface E. The fall event determination module is respectively connected to the control trigger module and the data interface E. The control trigger module is connected to the data interface E. The data interface E is respectively connected to the first acquisition unit, the adjustment unit (205) and the compressed gas cylinder.

7. The inflation control device for high-altitude work clothes according to claim 5, characterized in that, Also includes: The system comprises a second acquisition unit, a simulation unit, a prediction unit, and a determination unit. The second acquisition unit is connected to the simulation unit and the first calculation unit (202), respectively. The simulation unit is connected to the prediction unit, the prediction unit is connected to the determination unit, and the determination unit is connected to the first calculation unit (202). The second acquisition unit includes an environmental sensor, a gas cylinder identification module, and a data interface F. The environmental sensor is mounted on a work suit and connected to the gas cylinder identification module and the data interface F, respectively. The gas cylinder identification module is mounted on a compressed gas cylinder and connected to the data interface F. The data interface F is connected to the simulation unit and the first calculation unit (202), respectively. 02) Connection, the simulation unit includes: a simulation engine module, a parameter input module and a data interface G, the simulation engine module is connected to the parameter input module and the data interface G respectively, the data interface G is connected to the parameter input module and the prediction unit respectively, the prediction unit includes: a prediction algorithm module and a data interface H, the prediction algorithm module is connected to the data interface H, the data interface H is connected to the simulation unit and the determination unit respectively, the determination unit includes: a standard calculation module and a data interface I, the standard calculation module is connected to the data interface I, the data interface I is connected to the prediction unit and the first calculation unit (202) respectively.

8. An electronic device for executing the inflation control method of the high-altitude work suit according to claim 1, characterized in that, include: A memory (301) storing executable program code and a processor (302) coupled to the memory (301); the processor calls the executable program code stored in the memory (301), the executable program code executing the inflation control method of the aerial work suit.

9. A computer-readable storage medium for performing the inflation control method of the high-altitude work suit according to claim 1, characterized in that, The computer-readable storage medium stores a computer program, wherein the computer program executes the inflation control method of the high-altitude work suit.

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