Inflation control method and device for high-altitude operation clothes, equipment and storage medium

Abstract

The invention belongs to the technical field of automatic control, and discloses an air inflation control method and device for an aerial work suit, equipment and a storage medium, when it is detected that a compressed air cylinder on the aerial work suit is started to inflate a protective air bag, air pressure sensing data and temperature sensing data in the compressed air cylinder are collected in real time; calculating a deviation value between the air pressure sensing data and the standard air pressure data and a deviation value between the temperature sensing data and the standard temperature data; when any deviation value reaches a specified threshold value, differential calculation is carried out on the deviation value to obtain an air pressure change rate signal and a temperature change rate signal, the air pressure change rate signal and the temperature change rate signal are fused to obtain a fused change rate signal, and the fused change rate signal is input into a pre-trained prediction model to obtain a target control parameter; and the inflation rate of the compressed gas cylinder is adjusted according to the target control parameters, so that the inflation rate is adjusted in real time through feedback of the pressure and temperature in the compressed gas cylinder, excessive inflation is avoided, accidents are reduced, the control accuracy is improved, and the safety performance is improved.

Description

Technical Field

[0001] The present invention belongs to the field of automatic control technology, and in particular relates to an inflation control method and device, equipment, and storage medium for aerial work clothes. Background Art

[0002] The high-altitude working environment is complex and changeable, which places higher demands on the safety protection of high-altitude workers. Traditional high-altitude working protective clothing mainly relies on physical cushioning materials to reduce the impact force when falling, but in some extreme cases, this protection may not be enough to completely avoid injuries, especially for the protection of key parts such as the torso and neck.

[0003] Some solutions have been proposed in the prior art to install airbag devices on aerial work clothes to provide stronger protection for these parts. The airbag devices can provide additional safety protection for workers during aerial work, especially in emergency situations such as falling, by quickly inflating the airbags to reduce the damage to the torso and neck caused by the impact force.

[0004] The inflation process should be completed in a very short time to ensure timely protection for the workers. Therefore, the design of each component of the inflation system must not only meet the requirements of technical parameters, but also consider the reliability and safety in actual operation, improve the performance of aerial work clothes, and ensure the safety of workers. The core lies in the precise control of the gas filling process to ensure safe, effective and standard gas supply.

[0005] However, in practice, it is found that the existing inflation control method simply monitors whether the high-altitude worker falls in real time through sensors, and if so, activates the compressed gas cylinder to inflate the airbag. However, it does not consider whether the observed quantities (such as temperature, pressure, etc.) in the compressed gas cylinder are within the safe range during the filling process, so there are potential safety risks, resulting in insufficient control accuracy and safety performance of the existing inflation control method. Summary of the invention

[0006] The purpose of the present invention is to provide an inflation control method and device, equipment, and storage medium for aerial work clothes, which can ensure that the observed amount in the compressed gas cylinder during the filling process is carried out within a safe range, thereby improving control accuracy and enhancing safety performance.

[0007] The technical solution of the present invention is: an inflation control method for aerial work clothes, comprising the following steps:

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

[0009] S2. When it is detected that the compressed gas cylinder on the aerial work suit is started to inflate the protective airbag, the air pressure sensor data and temperature sensor data in the compressed gas cylinder are collected in real time;

[0010] S3, calculating a first deviation value between the air pressure sensor data and the standard air pressure data, and calculating a second deviation value between the temperature sensor data and the standard temperature data, wherein the calculation formula of the first deviation value is:

[0011] ΔP=P measured -P standard ,

[0012] Wherein, ΔP represents the first deviation value, P neasured Indicates air pressure sensor data, P standard Indicates standard atmospheric pressure data;

[0013] The calculation formula of the second deviation value is:

[0014] ΔT=T measured -T standard ,

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

[0016] S4. When the first deviation value reaches a specified threshold or the second deviation value reaches a specified threshold, the first deviation value is differentiated to obtain a pressure change rate signal, and the second deviation value is differentiated to obtain a temperature change rate signal. The calculation formula of the pressure change rate signal is:

[0017]

[0018] in, represents the pressure change rate signal, 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 calculation formula of the temperature change rate signal is:

[0020]

[0021] in, Represents the temperature change rate signal, T 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, performing weighted average fusion on the air 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, and using the prediction model to predict the target control parameter. The expression of the weighted average fusion is:

[0023]

[0024] Among them, S fused represents the fusion change rate signal, α represents the fusion weight of the pressure change rate signal, β represents the fusion weight of the temperature change rate signal, Indicates the pressure change rate signal, represents the temperature change rate signal; the prediction model is an LSTM model, and the expression of the LSTM model is:

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

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

[0027] Among them, X represents the input sequence, Y represents the target control parameter, S fused (tn) represents the fused change rate signal n moments ago, t represents the current moment, n represents the length of the time series, S fused (t) represents the fusion change rate signal at time t, W LSTM Represents the weight matrix of the LSTM model;

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

[0029] Furthermore, the method further includes the following steps: obtaining water pressure sensing data and humidity sensing data collected by a water pressure sensor and a humidity sensor arranged on the aerial work suit; according to the water pressure sensing data and the humidity sensing data, when it is detected that the worker wearing the aerial work suit is in a state of falling into water, obtaining water depth sensing data collected by a water depth detector arranged on the aerial work suit, and determining the water depth according to the water depth sensing data; when the water depth reaches a specified water depth, determining a target inflation rate according to the water depth, and controlling the compressed gas cylinder to inflate according to the target inflation rate; the calculation formula of 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 represents the target inflation rate, k represents the proportional 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 Indicates the maximum inflation rate.

[0033] Furthermore, the method further includes the following steps: before calculating the first deviation value between the air pressure sensor data and the standard air pressure data, obtaining the current environment information and the compressed gas cylinder model, and then simulating and analyzing the filling process of the compressed gas cylinder of the aerial work suit according to the current environment information and the compressed gas cylinder model, and then predicting the expected pressure and expected temperature during the filling process according to the simulation analysis results, and finally determining the standard air pressure data according to the expected pressure and the standard temperature data according to the expected temperature; the simulation analysis is specifically: using the Navier-Stokes equation to describe the gas flow and establish a mathematical model, and the expression of the Navier-Stokes equation is:

[0034]

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

[0036] Furthermore, the following steps are included: after adjusting the inflation rate of the compressed gas cylinder according to the target control parameter, determine 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 period of time; if not, switch the filling mode of the compressed gas cylinder to an intermittent filling mode.

[0037] An inflation control device for aerial work clothes using the inflation control method for aerial work clothes comprises: a collection unit, a first calculation unit, a second calculation unit, an optimization unit, and an adjustment unit, wherein the collection 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, the optimization unit is connected to the adjustment unit, the collection unit comprises: an air pressure sensor, a temperature sensor, a data processing module, and a data transmission module, the air pressure sensor and the temperature sensor are arranged 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, the data transmission module is connected to the first calculation unit, the first calculation unit comprises: an air pressure and temperature deviation calculation module and Data interface A, the air pressure and temperature deviation calculation module is connected to the data interface, the data interface A is respectively connected to the acquisition unit and the second calculation unit, the second calculation unit includes: a change rate calculation module and a data interface B, the change rate calculation module is connected to the data interface B, the data interface B is respectively connected to the first calculation unit and the optimization unit, the optimization unit 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 respectively connected to the second calculation unit and the adjustment unit, the adjustment unit includes: an air pressure control valve, a controller and a data interface D, the air pressure control valve is respectively connected to the compressed gas cylinder and the controller, the controller is connected to the data interface D, and the data interface D is connected to the optimization unit.

[0038] Furthermore, it also includes: a first acquisition unit and a starting unit, the first acquisition unit is connected to the starting unit and the optimization unit respectively, the starting unit is connected to the adjustment unit and the compressed gas cylinder respectively, the first acquisition unit includes: an acceleration sensor, an acceleration data processing module and a data transmission module, the acceleration sensor is arranged on the work clothes and is 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 starting unit and the optimization unit respectively, the starting 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, and the data interface E is respectively connected to the first acquisition unit, the adjustment unit and the compressed gas cylinder.

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

[0040] An electronic device for executing the inflation control method of the aerial work suit, comprising: 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 executes the inflation control method of the aerial work suit.

[0041] A computer-readable storage medium for executing the inflation control method of the aerial work suit, wherein the computer-readable storage medium stores a computer program, wherein the computer program executes the inflation control method of the aerial work suit.

[0042] The beneficial effects of the present invention are that, when it is detected that the compressed gas cylinder on the aerial work suit is started to inflate the protective airbag, the air pressure sensor data and the temperature sensor data in the compressed gas cylinder are collected in real time; the deviation values ​​between the air pressure sensor data and the standard air pressure data, and between the temperature sensor data and the standard temperature data are calculated; when any deviation value reaches a specified threshold, the deviation value is differentiated to obtain an air pressure change rate signal and a temperature change rate signal; the air pressure change rate signal and the temperature change rate signal are fused to obtain a fused change rate signal, which is input into a pre-trained prediction model to predict the target control parameters, and the inflation rate of the compressed gas cylinder is adjusted according to the target control parameters, so that through the feedback of the pressure and temperature in the compressed gas cylinder, the inflation rate is adjusted in real time to avoid overinflation, thereby ensuring that the filling pressure and temperature in the airbag during the filling process are within a safe range, which can reduce the occurrence of accidents, thereby improving control accuracy and enhancing safety performance. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings herein show specific examples of the technical solutions described in the present invention, and together with the specific implementation methods, constitute a part of the specification, and are used to explain the technical solutions, principles and effects of the present invention.

[0044] Unless otherwise specified or defined, the same reference numerals in different drawings represent the same or similar technical features, and the same or similar technical features may also be represented by different reference numerals.

[0045] Figure 1 It is a flow chart of an inflation control method of an aerial work suit of the present invention;

[0046] Figure 2 It is a structural schematic diagram of an inflation control device of an aerial work suit of the present invention;

[0047] Figure 3 It is a structural schematic diagram of an electronic device for executing an inflation control method for aerial work clothes according to the present invention.

[0048] Description of reference numerals:

[0049] 201, acquisition unit; 202, first calculation unit; 203, second calculation unit; 204, optimization unit; 205, adjustment unit; 301, memory; 302, processor. DETAILED DESCRIPTION

[0050] Unless otherwise specified or defined, all technical and scientific terms used herein have the same meaning as those generally understood by those skilled in the art. In the case of combining the technical solution of the present invention with realistic scenarios, all technical and scientific terms used herein may also have meanings corresponding to the purpose of implementing the technical solution of the present invention. The "first, second..." used herein is only used to distinguish the names and does not represent a specific quantity or order. The term "and / or" used herein includes any and all combinations of one or more related listed items.

[0051] It should be noted that when a component is considered to be "fixed to" another component, it can be directly fixed to the other component or there can be a central component; when an component is considered to be "connected to" another component, it can be directly connected to the other component or there can be a central component at the same time; when an component is considered to be "installed on" another component, it can be directly installed on the other component or there can be a central component at the same time. When an component is considered to be "set on" another component, it can be directly set on the other component or there can be a central component at the same time.

[0052] Unless otherwise specified or defined, the "said" and "the" used in this document refer to the technical features or technical contents mentioned or described before the corresponding position, and the technical features or technical contents may be the same as or similar to the technical features or technical contents mentioned therein. In addition, the terms "including" and "having" and any variations thereof used in this document are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units that are not listed, or may optionally include other steps or units inherent to these processes, methods, products or devices.

[0053] The embodiment of the present invention discloses an inflation control method for aerial work clothes, which can be implemented by computer programming. The execution subject of the method can be an electronic device such as a computer, a laptop computer, a tablet computer, or an inflation control device for aerial work clothes embedded in an electronic device (hereinafter referred to as "inflation control device"), and the present invention is not limited to this. In order to facilitate the understanding of the present invention, the specific embodiments of the present invention will be described in more detail below with reference to the drawings of the specification.

[0054] In order to facilitate the understanding of the present invention, the present invention first describes the structure of the aerial work suit. The aerial work suit is provided with a compressed gas cylinder, a protective airbag and an inflation control device; wherein, the valve of the compressed gas cylinder is electrically connected to the inflation control device, the operation of the compressed gas cylinder is controlled by the inflation control device, and the gas output port of the compressed gas cylinder is connected to the input port of the protective airbag. Among them, the protective airbag includes two parts: a body trunk airbag and a neck airbag. The body trunk airbag is designed to fit the shape of the human body trunk curve, and can tightly wrap and support the body trunk after inflation; the neck airbag is designed as an annular structure surrounding the neck, which can effectively support and protect the neck after inflation. Both parts of the airbag are made of high-strength, wear-resistant materials to ensure that they can maintain a stable shape and sufficient cushioning effect after inflation.

[0055] like Figure 1 As shown, a method for controlling the inflation of aerial work clothing includes the following steps 110 to 150:

[0056] 110. When it is detected that the compressed gas cylinder on the aerial work suit is started to inflate the protective airbag, the air pressure sensor data and temperature sensor data in the compressed gas cylinder are collected in real time.

[0057] In the embodiment of the present invention, the interface of the compressed gas cylinder is set to stainless steel material, which 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, wherein the control valve can be set to aluminum alloy material to control the gas flow and prevent overpressure; the pressure sensor can be set to carbon fiber composite material to monitor the pressure in the gas cylinder to ensure filling safety; the temperature sensor can be set to copper-based alloy to monitor the temperature in the gas cylinder to prevent overheating.

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

[0059] As an optional implementation, the aerial work suit is also provided with a user operation panel, so when the user operation panel detects a filling start instruction, the compressed gas cylinder can be automatically started to inflate the protective airbag.

[0060] Alternatively, the sensor can monitor the status of the high-altitude workers in real time and automatically determine whether the protective airbag needs to be activated; and intelligently adjust the inflation speed and deployment form of the airbag according to the actual situation to achieve the best protection effect. Specifically, an acceleration sensor is also provided on the high-altitude work suit, which can obtain acceleration sensor data in real time. When it is determined that a person has fallen according to the acceleration sensor data, the compressed gas cylinder is automatically activated to inflate the protective airbag.

[0061] Furthermore, the aerial work suit can also be provided with a water pressure sensor, a humidity sensor and a water depth detector. Therefore, when it is determined based on the acceleration sensor data that a person has fallen, the compressed gas cylinder is automatically started to inflate the protective airbag, and the water pressure sensor data and humidity sensor data collected by the water pressure sensor and the humidity sensor can be obtained. Based on the water pressure sensor data and the humidity sensor data, it is detected whether the staff wearing the aerial work suit has fallen into the water. After determining that the person has fallen into the water, the water depth sensor data collected by the water depth detector is obtained, and the water depth is determined based on the water depth sensor data. When the water depth reaches the specified depth, the target inflation rate is determined based on the water depth, and the compressed gas cylinder is controlled to inflate at the target inflation rate. The calculation formula for 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 represents the target inflation rate, k represents the proportional 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 Indicates the maximum inflation rate.

[0065] Specifically, if it is determined according to the humidity sensor data that the current humidity reaches the specified humidity value, and if it is determined according to the water pressure sensor data that the current water pressure reaches the specified water pressure value, it is determined that the worker wearing the aerial work suit is 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 3KPa, 4KPa or 5KPa, and the specified depth can be set to 0.2 or 0.4m. 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] Further optionally, a vital sign sensor can be provided on the aerial work suit, and the vital sign sensing data collected by the vital sign sensor can be processed. Specifically, the collected vital sign sensing data is divided according to time using a sliding window, and the window data in the sliding window is smoothed and filtered to obtain denoised data, and then the denoised data is feature extracted to obtain feature information, and the feature information is input into a pre-trained classification model, and the life coefficient of the person who fell into the water is determined according to the prediction result of the classification model, and the corresponding current vital signs are determined according to the life coefficient, and the current vital signs and alarm information are sent to the bound mobile terminal. Among them, the life coefficient is used to characterize the current vital signs. The higher the life coefficient, the more obvious the vital signs.

[0067] 120. Calculate a first deviation value between the air pressure sensor data and the standard air pressure data, and calculate a second deviation value between the temperature sensor data and the standard temperature data; the calculation formula of the first deviation value is:

[0068] ΔP=P measured -P standard ,

[0069] Wherein, ΔP represents the first deviation value, P measured Indicates air pressure sensor data, P standard Indicates standard atmospheric pressure data;

[0070] The calculation formula of the second deviation value is:

[0071] ΔT=T measured -Tstandard ,

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

[0073] Among them, for the air pressure sensor data and the temperature sensor data, corresponding standard air pressure data and standard temperature data are respectively set, so it is necessary to calculate the deviation values ​​between the air pressure sensor data and the temperature sensor data and their corresponding standard air pressure data and standard temperature data respectively.

[0074] As an optional implementation, the standard air pressure data and the standard temperature data may be fixed thresholds pre-set by the user according to specific needs, or may be dynamic thresholds determined according to current environmental information and the model of the compressed gas cylinder. When the standard air pressure data and the standard temperature data are dynamic thresholds, the acquisition method may include the following steps S11 to S14, which are not shown in the figure:

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

[0076] Since the physical loads of compressed gas cylinders are different under different environmental conditions, the current environmental information needs to be considered in the simulation analysis of the filling process of compressed gas cylinders of aerial work suits. The current environmental information can be detected by environmental sensors installed on the aerial work suits. The environmental sensors include smoke detectors, wind speed detectors, humidity detectors, rainfall detectors, and natural disaster warning devices. The current environmental information includes external environmental information such as smoke, wind speed, humidity, rainfall probability, and natural disasters.

[0077] In addition, as a high-pressure container, the performance parameters of compressed gas cylinders are crucial to ensure safety and efficiency. Common compressed gas cylinder parameters include working pressure, volume, material, size, etc. The following Table 1 shows the main parameters of several commonly used compressed gas cylinders:

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

[0079] model Working pressure(MPa) Maximum volume (L) Material Dimensions (mm x mm x mm) C30 30 30 steel 300x300x350 D40 40 40 Aluminum Alloy 400x400x450 E50 50 50 Stainless steel 500x500x550

[0080] As can be seen from Table 1 above, different types of compressed gas cylinders differ in working pressure, volume, material and size. Working pressure refers to the maximum pressure value that a compressed gas cylinder can withstand under normal use conditions, while volume determines the amount of gas that the cylinder can store. In terms of material, different compressed gas cylinders choose different materials according to the needs of their application scenarios, such as steel, aluminum alloy or stainless steel, to ensure the strength and corrosion resistance of the cylinder. The size directly affects the convenience of carrying and using the cylinder.

[0081] Therefore, in the process of simulating and analyzing the filling process of the compressed gas cylinder of the aerial work suit, it is necessary to consider the various main parameters corresponding to the current compressed gas cylinder model, especially the working pressure.

[0082] S12. According to the current environmental information and the model of the compressed gas cylinder, a simulation analysis is performed on the filling process of the compressed gas cylinder of the aerial work suit.

[0083] By simulating the high-altitude working environment, a mathematical model of the filling process of the compressed gas cylinder of the high-altitude work suit was established, and the pressure distribution and temperature change during the filling process were obtained through computer simulation. Specifically, to simplify the problem, it is assumed that: the interior of the compressed gas cylinder is an ideal fluid, and its viscosity effect is ignored; the temperature inside the cylinder is uniform; the external conditions (such as temperature and pressure) remain unchanged during the filling process of the cylinder. In addition, the compressed gas cylinder is regarded as 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 the gas particles and it can be treated as a continuous medium.

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

[0085]

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

[0087] To complete the model, you need to define appropriate boundary conditions and initial conditions. For example, the cylinder inlet can be set to a constant pressure or a constant flow, and the outlet can be set to an open boundary or a set pressure. Initial conditions usually include the initial pressure and temperature distribution inside and outside the cylinder.

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

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

[0090] S14. Determine standard air pressure data according to the expected pressure, and determine standard temperature data according to the expected temperature.

[0091] The expected pressure may be directly used as the standard air pressure data, and the expected temperature may be directly used as the standard temperature data. Alternatively, the standard air pressure data may be further calculated based on the expected pressure, and the standard temperature data may be further calculated based on the expected temperature.

[0092] 130. When the first deviation value reaches a specified threshold or the second deviation value reaches a specified threshold, the first deviation value is differentiated to obtain a pressure change rate signal, and the second deviation value is differentiated to obtain a temperature change rate signal; the calculation formula of the pressure change rate signal is:

[0093]

[0094] in, represents the pressure change rate signal, 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 calculation formula of the temperature change rate signal is:

[0096]

[0097] in, Represents the temperature change rate signal, T 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 respectively, and ΔT represents the second deviation value.

[0098] When the first deviation value or the second deviation value reaches the specified threshold, the sensor data is judged to be beyond the safety range and is an abnormal situation, and the prediction model needs to be further used to predict the control variables. In addition, when the sensor data is judged to be beyond the safety range, an alarm message can also be issued to prompt the operator. In this way, through the fault self-checking and alarm functions, potential problems can be discovered and handled in time, the working status of the compressed gas cylinder can be monitored in real time, and potential safety hazards can be discovered and warned in time.

[0099] 140. Perform weighted average fusion on the 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 parameter; the expression of the weighted average fusion is:

[0100]

[0101] Among them, S fusedrepresents the fusion change rate signal, α represents the fusion weight of the pressure change rate signal, β represents the fusion weight of the temperature change rate signal, Indicates the pressure change rate signal, represents the temperature change rate signal; the prediction model is an LSTM model, and the expression of the LSTM model is:

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

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

[0104] Among them, X represents the input sequence, Y represents the target control parameter, S fused (tn) represents the fused change rate signal n moments ago, t represents the current moment, n represents the length of the time series, S fused (t) represents the fusion change rate signal at time t, W LSTM Represents the weight matrix of the LSTM model.

[0105] Among them, the pressure change rate signal and the temperature change rate signal can be represented by vectors. By splicing and fusing the vectors of the two, the overall vector, that is, the fusion 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 opening of the control valve, the flow of the compressed gas cylinder can be adjusted, thereby affecting its inflation rate.

[0106] In the present invention, a machine learning algorithm is used to train the prediction model. Before training, it is first necessary to collect historical sensor data in the compressed gas cylinder when inflated within a specified period of time in the past, such as historical air pressure sensor data and historical temperature sensor data, etc. These historical sensor data can provide a basis for subsequent machine learning. After collecting the historical sensor data, it is necessary to perform feature engineering on it, that is, convert the historical sensor data into a data format suitable for machine learning to obtain a feature vector with a time series relationship. For example, a sliding window method can be used to extract continuous data points in the historical sensor data as a feature vector. 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 a feature vector for training, a prediction model can be obtained for predicting 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, and the control of the system is achieved by simulating the human decision-making process. First, it is necessary to determine the observed quantity (such as the temperature and pressure in the compressed gas cylinder, etc.) and the controlled quantity (such as the control valve opening of the compressed gas cylinder, etc.) in the system; secondly, the input observed quantity and the output controlled quantity are fuzzy processed through the membership function, and fuzzy control rules are established. These rules describe the relationship between the input variables and the output variables, for example, "if the temperature in the compressed gas cylinder is high, reduce the control valve opening"; finally, fuzzy reasoning is performed according to the established fuzzy control rules, and the target control parameters can be obtained through fuzzy logic operations based on the fusion change rate signal of the current input. In the present invention, the target control parameters are predicted by the fuzzy control method, which can improve robustness, anti-interference and adaptability.

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

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

[0110] 161. Determine whether the first deviation value and the second deviation value both change from reaching a specified threshold value to less than a specified threshold value and maintain for a specified period of time. If so, end this process; otherwise, execute step 162.

[0111] If so, it means that the air pressure sensor data and the temperature sensor data have both returned to the safe range; otherwise, it means that the air pressure sensor data and the temperature sensor data have not returned to the safe range.

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

[0113] Among them, compressed gas cylinders can have multiple filling modes, including but not limited to continuous filling, intermittent filling and pressure preset filling, which can meet the needs of different working conditions. Users can choose the appropriate filling mode according to specific needs, and can simply configure related parameters such as filling pressure, filling rate, etc. through the interface.

[0114] Generally, compressed gas cylinders are operated in continuous filling mode by default. When the air pressure sensor data and temperature sensor data have not returned to the safe range, the filling mode can be adjusted to intermittent filling mode to slow down the continued increase in pressure and temperature in 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 obtained, and after the compressed gas cylinder completes the inflation of the protective airbag, the average expansion time of the protective airbag is calculated based on the expansion speed and shape change data during the inflation process; if the average expansion time does not meet the preset response conditions, a reminder message is output. Among them, the aerial work suit can be configured with a remote network interface, and the aerial work suit is wirelessly connected to the remote monitoring device through the remote network interface. The specific aerial work suit can transmit the reminder information to the remote monitoring device. Moreover, the aerial work suit can also transmit the air pressure sensor data and temperature sensor data in the compressed gas cylinder collected during the inflation process to the remote monitoring device in real time, which is convenient for real-time monitoring. The operator can view the system status through the monitoring device, set or adjust the parameters, which greatly improves the convenience of operation and management efficiency.

[0116] It should be noted that in an emergency, the airbag must be able to inflate quickly to provide immediate protection. Therefore, high requirements are placed on the response time of the airbag to ensure that the protection mechanism can be activated immediately at the critical moment. By evaluating the inflation response time performance of the airbag in real time, we can understand the possible weaknesses of the airbag and the direction of improvement.

[0117] Further optionally, the average expansion time can also be used to characterize the prediction effect of the prediction model. If the average expansion time does not meet the preset response conditions, it means that the prediction effect of the prediction model is not good enough. The network structure or hyperparameters of the prediction model can be adjusted and optimized according to the average expansion time.

[0118] To summarize, the embodiments of the present invention are implemented based on the closed-loop control principle and the filling parameters are adjusted through a feedback mechanism to ensure that key parameters such as pressure and temperature are stable within the set range. The pressure sensor is used to monitor the internal pressure of the gas cylinder in real time, and the temperature sensor is used to monitor the temperature of the gas cylinder. When it is detected that any parameter exceeds the preset range, the control system will automatically adjust the filling rate or suspend filling until the parameters return to normal.

[0119] In addition, the target control parameters are optimized by the fuzzy control method, which has the characteristics of strong robustness, good anti-interference and strong adaptability.

[0120] like Figure 2As shown, an inflation control device for aerial work clothes using the inflation control method of the aerial work clothes comprises: a collection unit 201 (used to collect air pressure sensor data and temperature sensor data in the compressed gas cylinder in real time when it is detected that the compressed gas cylinder on the aerial work clothes is started to inflate the protective airbag), a first calculation unit 202 (used to calculate a first deviation value between the air pressure sensor data and the standard air pressure data, and calculate a second deviation value between the temperature sensor data and the standard temperature data), a second calculation unit 203 (the second calculation unit 203 is used to calculate the first deviation value slightly when the first deviation value reaches a specified threshold or the second deviation value reaches a specified threshold 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, the second calculation unit 203 is connected to the optimization unit 204, and the optimization unit 205 is connected to the first calculation unit 202. The unit 204 is connected to the adjustment unit 205, the acquisition unit 201 includes: an air pressure sensor, a temperature sensor, a data processing module and a data transmission module, the air pressure sensor and the temperature sensor are arranged 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: an air pressure and temperature deviation calculation module and a data interface A, the air pressure and temperature deviation calculation module is connected to the data interface, the data interface A is respectively connected to the acquisition unit 201 and the second calculation unit 203, the second calculation unit 20 3 includes: a change rate calculation module and a data interface B, the change rate calculation module is connected to the data interface B, the data interface B is respectively 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 respectively connected to the second calculation unit 203 and the adjustment unit 205, the adjustment unit 205 includes: an air pressure control valve, a controller and a data interface D, the air pressure control valve is respectively connected to the compressed gas cylinder and the controller, the controller is connected to the data interface D, and the data interface D is connected to the optimization unit 204.

[0121] Furthermore, it also includes: a first acquisition unit (used to acquire acceleration sensor data in real time) and a start unit (used to automatically start the compressed gas cylinder to inflate the protective airbag when it is determined that a person falls according to the acceleration sensor data), the first acquisition unit is connected to the start unit and the optimization unit respectively, the start unit is connected to the adjustment unit and the compressed gas cylinder respectively, the first acquisition unit includes: an acceleration sensor, an acceleration data processing module and a data transmission module, the acceleration sensor is arranged on the work clothes and is 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 unit and the optimization unit 204 respectively, the start 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, and the data interface E is connected to the first acquisition unit, the adjustment unit 205 and the compressed gas 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 sensor data and the standard air pressure data), a simulation unit (used to simulate and analyze the filling process of the compressed gas cylinder of the aerial work suit according to 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 according to the simulation analysis results) and a determination unit (used to determine the standard air pressure data according to the expected pressure, and determine the standard temperature data according to 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 Port F, the environmental sensor is arranged on the work clothes and is respectively connected to the gas cylinder identification module and the data interface F, the gas cylinder identification module is arranged on the compressed gas cylinder and is connected to the data interface F, the data interface F is respectively 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 respectively connected to the parameter input module and the data interface G, the data interface G is respectively 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 respectively 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 respectively connected to the prediction unit and the first calculation unit 202.

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

[0124] The water fall detection unit is used to obtain water pressure sensing data and humidity sensing data collected by the water pressure sensor and humidity sensor arranged on the aerial work suit when it is determined that a personnel fall event occurs according to the acceleration sensing data, and after the starting unit automatically starts the compressed gas cylinder to inflate the protective airbag; if it is detected according to the water pressure sensing data and the humidity sensing data that the staff wearing the aerial work suit is in a state of falling into water, the water depth sensing data collected by the water depth detector arranged on the aerial work suit is obtained, and the water depth is determined according to the water depth sensing data;

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

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

[0127] A judging unit, configured to judge whether the first deviation value and the second deviation value both change from reaching a specified threshold value to being less than a specified threshold value and maintain the value for a specified time period after the adjusting unit 205 adjusts the filling rate of the compressed gas cylinder according to the target control parameter;

[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 no.

[0129] like Figure 3 As shown, an electronic device for executing the inflation control method of the aerial work suit described above includes: a memory 301 storing executable program codes 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 aerial work suit described in the above embodiments.

[0131] The present invention also discloses a computer-readable storage medium for executing the inflation control method of the aerial work suit, wherein the computer-readable storage medium stores a computer program, wherein the computer program executes the inflation control method of the aerial work suit.

[0132] The purpose of the above embodiments is to exemplarily reproduce and deduce the technical solution of the present invention, and to fully describe the technical solution, purpose and effect of the present invention. Its purpose is to make the public understand the disclosed content of the present invention more thoroughly and comprehensively, and it does not limit the scope of protection of the present invention.

[0133] The above embodiments are not exhaustive enumerations of the present invention, and there may be multiple other implementations not listed. Any replacement and improvement made without violating the concept of the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for controlling the inflation of aerial work clothing, characterized in that: The following steps are involved: S1. Acquire acceleration sensor data in real time, and automatically start the compressed gas cylinder to inflate the protective airbag according to the acceleration sensor data; S2. When it is detected that the compressed gas cylinder on the aerial work suit is started to inflate the protective airbag, the air pressure sensor data and temperature sensor data in the compressed gas cylinder are collected in real time; S3, calculating a first deviation value between the air pressure sensor data and the standard air pressure data, and calculating a second deviation value between the temperature sensor data and the standard temperature data, wherein the calculation formula of the first deviation value is: ΔP=P measured -P standard , Wherein, ΔP represents the first deviation value, P measured Indicates air pressure sensor data, P standard Indicates standard atmospheric pressure data; The calculation formula of the second deviation value is: ΔT=T measured -T standard , Wherein, ΔT represents the second deviation value, T measured Represents temperature sensing data, T standard Indicates standard temperature data; S4. When the first deviation value reaches a specified threshold or the second deviation value reaches a specified threshold, the first deviation value is differentiated to obtain a pressure change rate signal, and the second deviation value is differentiated to obtain a temperature change rate signal. The calculation formula of the pressure change rate signal is: in, represents the pressure change rate signal, t1 and t2 represent two adjacent time points, P measured (t2) represents the air pressure value collected at time t2, P measueed (t1) represents the air pressure value collected at time t1, and ΔP represents the first deviation value; The calculation formula of the temperature change rate signal is: in, Represents the temperature change rate signal, T 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; S5, performing weighted average fusion on the air 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, and using the prediction model to predict the target control parameter. The expression of the weighted average fusion is: Among them, S fused represents the fusion change rate signal, α represents the fusion weight of the pressure change rate signal, β represents the fusion weight of the temperature change rate signal, Indicates the pressure change rate signal, Indicates the temperature change rate signal; The prediction model is an LSTM model, and the expression of the LSTM model is: X=[S fused (t-n),S fused (t-n+1),...,S fused (t)], Y=LSTM(X,W LSTM ), Among them, X represents the input sequence, Y represents the target control parameter, S fused (tn) represents the fused change rate signal n moments ago, t represents the current moment, n represents the length of the time series, S fused (t) represents the fusion change rate signal at time t, W LSTM Represents the weight matrix of the LSTM model; S6. Adjust the filling rate of the compressed gas cylinder according to the target control parameter.

2. The inflation control method for aerial work clothing according to claim 1, characterized in that: The following steps are also included: The water pressure sensing data and humidity sensing data collected by the water pressure sensor and humidity sensor installed on the aerial work suit are obtained; based on the water pressure sensing data and humidity sensing data, when it is detected that the staff wearing the aerial work suit is in a state of falling into the water, the water depth sensing data collected by the water depth detector installed on the aerial work suit is obtained, and the water depth is determined according to the water depth sensing data; when the water depth reaches the specified water depth, the target inflation rate is determined according to the water depth, and the compressed gas cylinder is controlled to be inflated according to the target inflation rate; the calculation formula of the target inflation rate is: R target =k·D water +R min If D water ≥D threshold , R arget =R max , Among them, R target represents the target inflation rate, k represents the proportional 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 Indicates the maximum inflation rate.

3. The inflation control method for aerial work clothing according to claim 1, characterized in that: The following steps are also included: Before calculating the first deviation value between the air pressure sensor data and the standard air pressure data, the current environment information and the compressed gas cylinder model are obtained, and then the filling process of the compressed gas cylinder of the aerial work suit is simulated and analyzed according to the current environment information and the compressed gas cylinder model, and then the expected pressure and expected temperature during the filling process are predicted according to the simulation analysis results, and finally the standard air pressure data and the standard temperature data are determined according to the expected pressure and the expected temperature; the simulation analysis is specifically: using the Navier-Stokes equation to describe the gas flow and establish a mathematical model, and the expression of the Navier-Stokes equation is: Wherein, ρ represents density, u represents velocity vector, t represents time, p represents pressure, and μ represents dynamic viscosity; the Navier-Stokes equation is discretized by using finite element method.

4. The inflation control method for aerial work clothing according to claim 1, characterized in that: The following steps are also included: After adjusting the inflation rate of the compressed gas cylinder according to the target control parameter, determine 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 period of time; if not, switch the filling mode of the compressed gas cylinder to an intermittent filling mode.

5. An inflation control device for aerial work clothes using the inflation control method for aerial work clothes according to claim 1, characterized in that: include: A collection unit (201), a first calculation unit (202), a second calculation unit (203), an optimization unit (204), and an adjustment unit (205), wherein the collection 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 collection unit (201) comprises: an air pressure sensor, a temperature sensor, a data processing module, and a data transmission module. The air pressure sensor and the temperature sensor are arranged 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. The data transmission module is connected to the first calculation unit (202). The first calculation unit (202) comprises: an air pressure and temperature deviation calculation module and a data interface module. A, the air pressure and temperature deviation calculation module is connected to a data interface, the data interface A is respectively connected to a collection unit (201) and a second calculation unit (203), the second calculation unit (203) comprises: a change rate calculation module and a data interface B, the change rate calculation module is connected to the data interface B, the data interface B is respectively connected to a first calculation unit (202) and an optimization unit (204), the optimization unit (204) comprises: 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 respectively connected to the second calculation unit (203) and an adjustment unit (205), the adjustment unit (205) comprises: an air pressure control valve, a controller and a data interface D, the air pressure control valve is respectively connected to a compressed gas cylinder and a controller, the controller is connected to the data interface D, and the data interface D is connected to the optimization unit (204).

6. The inflation control device for aerial work clothing according to claim 5, characterized in that: Also includes: A first acquisition unit and a start unit, wherein the first acquisition unit is connected to the start unit and the optimization unit (204) respectively, and the start unit is connected to the adjustment unit and the compressed gas cylinder respectively, the first acquisition unit comprises: an acceleration sensor, an acceleration data processing module and a data transmission module, the acceleration sensor is arranged on the work clothes and is 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 unit and the optimization unit (204) respectively, the start unit comprises: 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, and the data interface E is connected to the first acquisition unit, the adjustment unit (205) and the compressed gas cylinder respectively.

7. The inflation control device for aerial work clothing according to claim 5, characterized in that: Also includes: a second acquisition unit, a simulation unit, a prediction unit and a determination unit, wherein the second acquisition unit is respectively connected to the simulation unit and the first calculation unit (202), 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 comprises: an environmental sensor, a gas cylinder identification module and a data interface F, the environmental sensor is arranged on the work clothes and is respectively connected to the gas cylinder identification module and the data interface F, the gas cylinder identification module is arranged on the compressed gas cylinder and is connected to the data interface F, the data interface F is respectively connected to the simulation unit and the first calculation unit (2 02), the simulation unit comprises: a simulation engine module, a parameter input module and a data interface G, the simulation engine module is respectively connected to the parameter input module and the data interface G, the data interface G is respectively connected to the parameter input module and the prediction unit, the prediction unit comprises: 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 respectively connected to the simulation unit and the determination unit, the determination unit comprises: 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 respectively connected to the prediction unit and the first calculation unit (202).

8. An electronic device for executing the inflation control method of aerial work clothes 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, and the executable program code executes the inflation control method of the aerial work suit.

9. A computer-readable storage medium for executing the inflation control method of aerial work clothing 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 aerial work suit.

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