Method for controlling pressure loading rate in detection of pressure resistance of aerosol can and related equipment

Abstract

The application relates to the technical field of aerosol can detection, in particular to a pressure loading rate control method for detecting the pressure resistance strength of an aerosol can and related equipment, based on actual working conditions of different types of aerosol cans, pressure change data of multiple transportation scenes is collected, a multi-stage pressure loading rate curve containing "smooth pressure rise-instantaneous impact-pressure maintaining-pressure gradient pressure relief" is preset, the can body pressure and deformation data of the aerosol can on a target detection station are acquired, the first pressure loading rate is adjusted after comparison and analysis, the second pressure loading rate is adaptively matched in combination with aerosol can specification information, a comprehensive pressure loading rate is obtained by fusing the two pressure loading rates, and the work station detection device is controlled to detect batches of aerosol cans according to the comprehensive pressure loading rate, so that the actual scene can be simulated more accurately, and the detection requirements of aerosol cans of different specifications can be adapted.

Description

Technical Field

[0001] This application relates to the field of aerosol can testing technology, and in particular to a method and related equipment for controlling the pressure loading rate of aerosol can pressure resistance testing. Background Technology

[0002] As a core packaging container for pharmaceuticals, cosmetics, and industrial chemicals, the pressure resistance of aerosol cans directly affects product safety and market compliance. Traditional pressure resistance testing for aerosol cans often uses a constant-rate loading mode, which cannot simulate the sudden pressure changes during actual transportation and use (such as instantaneous pressure increases caused by collisions or high temperatures), resulting in test results that do not match real safety risks. Furthermore, the constant loading logic has poor coordination with multi-station strength testing devices, making it difficult to adapt to the differentiated testing needs of aerosol cans of different specifications. Summary of the Invention

[0003] To overcome the shortcomings of existing technologies, this invention provides a method and related equipment for controlling the pressure loading rate of aerosol can pressure resistance testing, which can more accurately simulate actual scenarios and adapt to the testing needs of aerosol cans of different specifications.

[0004] The first aspect of this application provides a method for controlling the pressure loading rate when testing the pressure resistance of an aerosol can, the method comprising: Based on the actual working conditions of different types of aerosol cans, pressure change data were collected under multiple transportation scenarios. Based on the pressure change data, a multi-stage pressure loading rate curve is preset, including "smooth pressure increase - instantaneous impact - pressure holding and stabilization - gradient pressure relief"; Acquire the pressure and deformation data of the aerosol cans at the target testing station; the target testing station is any one of multiple independent testing stations, which simultaneously test the pressure resistance of multiple aerosol cans. The tank body pressure data, the tank body deformation data, and the multi-stage pressure loading rate curve are compared and analyzed, and the first pressure loading rate of the target detection station is adjusted according to the comparison results. Obtain the specification information of the aerosol can on the target detection station, and combine it with the can body pressure data and the can body deformation data to adaptively match the second pressure loading rate; The first pressure loading rate and the second pressure loading rate are combined to obtain the comprehensive pressure loading rate; The station detection device at the target detection station is controlled to perform batch detection of aerosol cans according to the comprehensive pressure loading rate.

[0005] In an optional implementation, the step of acquiring the specification information of the aerosol can at the target detection station, and combining it with the can body pressure data and the can body deformation data to adaptively match the second pressure loading rate includes: Based on the specifications, construct a deformation-pressure coupling model corresponding to the tank body pressure data and the tank body deformation data; The deformation-pressure coupling model is updated by fitting the deformation-pressure data pairs within the current detection period using the least squares method. Based on the updated deformation-pressure coupling model, predict the limiting deformation of the tank at the current pressure loading rate; When it is determined that the limiting deformation exceeds the preset safe deformation threshold, the correction amount of the second pressure loading rate is calculated; The correction amount is combined with the preset standard rate to obtain the second pressure loading rate.

[0006] In an optional implementation, constructing the deformation-pressure coupling model corresponding to the tank pressure data and the tank deformation data based on the specification information includes: Based on the tank material type, the elastic modulus is queried from a preset material-elastic modulus mapping table; the specification information includes the tank material type, tank wall thickness, and tank diameter; The tank stiffness coefficient is calculated based on the tank wall thickness, the tank diameter, and the elastic modulus. The deformation-pressure coupling model is constructed based on the tank pressure data, the tank diameter, the tank stiffness coefficient, and the deformation noise compensation term corresponding to the tank deformation data.

[0007] In an optional implementation, adjusting the first pressure loading rate of the target detection station based on the comparison result includes: When the pressure difference or deformation difference is determined to exceed the allowable error range, a relationship model between the pressure difference and a first adjustment coefficient, and a relationship model between the deformation difference and a second adjustment coefficient are established; the pressure difference is the comparison result of the tank body pressure data and the multi-stage pressure loading rate curve, and the deformation difference is the comparison result of the tank body deformation data and the multi-stage pressure loading rate curve; the first adjustment coefficient is the pressure loading rate adjustment coefficient corresponding to the pressure difference, and the second adjustment coefficient is the pressure loading rate adjustment coefficient corresponding to the deformation difference; Calculate the comprehensive adjustment coefficient based on the first adjustment coefficient and the second adjustment coefficient; The current pressure loading rate of the target detection station is adjusted according to the comprehensive adjustment coefficient to obtain the first pressure loading rate.

[0008] In an optional implementation, fusing the first pressure loading rate and the second pressure loading rate to obtain a comprehensive pressure loading rate includes: Based on the material type in the specification information, the basic weight coefficient is queried from the preset material-weight mapping table; A dynamic adjustment factor is calculated based on the volatility of the tank deformation data. The basic weight coefficient is fused with the dynamic adjustment factor to obtain the first weight of the first pressure loading rate; The second weight of the second pressure loading rate is determined based on the first weight; the sum of the first weight and the second weight is 1. The first pressure loading rate and the second pressure loading rate are weighted and fused according to the first weight and the second weight to obtain the comprehensive pressure loading rate.

[0009] In an optional implementation, the calculation of the dynamic adjustment factor based on the volatility of the tank deformation data includes: The dynamic adjustment factor is calculated using the following formula. γ : ; in, γ As a dynamic adjustment factor, β Volatility ( β =Standard deviation of deformation / Mean of deformation), The deformation fluctuation threshold, k This is the sensitivity coefficient.

[0010] In an optional implementation, the method further includes: Record the detection data of each aerosol can at the target detection station; Based on the test data, determine whether the ultimate pressure resistance performance of each aerosol can meets the standard requirements; When it is determined that the standard requirements are met, a test report is generated for each aerosol can based on the test data.

[0011] A second aspect of this application provides a pressure loading rate control device for detecting the pressure resistance strength of an aerosol can, the device comprising: The data acquisition module is used to collect pressure change data under multiple transportation scenarios based on the actual working conditions of different types of aerosol cans. The preset module is used to preset a multi-stage pressure loading rate curve including "smooth pressure increase - instantaneous impact - pressure holding and stabilization - gradient pressure relief" based on the pressure change data; The acquisition module is used to acquire the pressure data and deformation data of the aerosol cans at the target inspection station; the target inspection station is any one of multiple independent inspection stations, and the multiple independent inspection stations simultaneously perform pressure resistance tests on multiple aerosol cans; The adjustment module is used to compare and analyze the tank body pressure data, the tank body deformation data and the multi-stage pressure loading rate curve, and adjust the first pressure loading rate of the target detection station according to the comparison results. An adaptive module is used to acquire the specification information of the aerosol cans at the target detection station, and adaptively match the second pressure loading rate by combining the can body pressure data and the can body deformation data. The fusion module is used to fuse the first pressure loading rate and the second pressure loading rate to obtain a comprehensive pressure loading rate. The control module is used to control the station detection device on the target detection station to perform batch detection of aerosol cans according to the comprehensive pressure loading rate.

[0012] A third aspect of this application provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the pressure loading rate control method for detecting the pressure resistance of an aerosol can.

[0013] A fourth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described method for controlling the pressure loading rate of an aerosol can for detecting its pressure resistance.

[0014] In summary, the pressure loading rate control method and related equipment for aerosol can pressure resistance testing provided in this application collect pressure change data under multiple transportation scenarios based on the actual working conditions of different types of aerosol cans. Based on this data, a multi-stage pressure loading rate curve is preset, including "smooth pressure increase - instantaneous impact - pressure holding and stabilization - gradient pressure release." This multi-stage curve can simulate various pressure changes that may occur during actual transportation and use, including sudden pressure changes, thus making the test results closer to real safety risks. Furthermore, by acquiring the can body pressure data and can body deformation data of the aerosol can at the target testing station, comparing and analyzing them with the preset multi-stage pressure loading rate curve, and adjusting the first pressure loading rate of the target testing station based on the comparison results, the testing process can be initially adjusted according to the actual performance of the aerosol can during the testing process, initially adapting to the characteristics of different aerosol cans. Furthermore, by acquiring the specification information of the aerosol cans at the target inspection station, and combining it with can body pressure and deformation data, a second pressure loading rate is adaptively matched. This further considers the specification factors of the aerosol cans, making the pressure loading rate more closely aligned with the actual needs of different aerosol can specifications. Finally, the first and second pressure loading rates are merged to obtain a comprehensive pressure loading rate. Based on this comprehensive pressure loading rate, the inspection device at the target inspection station is controlled to perform batch inspections of the aerosol cans. This approach better adapts to the differentiated inspection requirements of different aerosol can specifications and improves the synergy between the inspection device and aerosol cans of different specifications. Attached Figure Description

[0015] Figure 1 This is a schematic flowchart illustrating a method for controlling the pressure loading rate of an aerosol can for testing its pressure resistance, as shown in an embodiment of this application. Figure 2 This is a functional block diagram of an aerosol can pressure resistance strength detection pressure loading rate control device shown in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of an electronic device shown in an embodiment of this application. Detailed Implementation

[0016] The present invention will be further described below with reference to the accompanying drawings and embodiments.

[0017] The following will clearly and completely describe the concept, specific structure, and technical effects of the present invention in conjunction with embodiments and accompanying drawings, so as to fully understand the purpose, features, and effects of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of them. Other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are all within the scope of protection of the present invention. Furthermore, all connections / linkages involved in the patent do not simply refer to direct contact between components, but rather to the ability to form a better connection structure by adding or reducing connecting accessories according to specific implementation conditions. The various technical features in this invention can be combined interactively without contradicting each other.

[0018] In this embodiment, multiple independent testing stations are provided, allowing for simultaneous testing of multiple aerosol cans. To facilitate understanding of the inventive concept, one testing station is arbitrarily selected from the multiple independent testing stations as the target testing station. The following describes a method for controlling the pressure loading rate of any aerosol can at the target testing station using electronic equipment to test its pressure resistance.

[0019] Reference Figure 1 The diagram shown is a flowchart illustrating a method for controlling the pressure loading rate of an aerosol can for pressure resistance testing, according to an embodiment of this application. The method includes the following steps.

[0020] S11 collects pressure change data under multiple transportation scenarios based on the actual working conditions of different types of aerosol cans.

[0021] In this application embodiment, based on the purpose of the aerosol can and the transportation environment, the following three typical operating conditions are defined as follows: Condition A (daily chemical products): During transportation, the products may be subjected to vibration and stacking pressure (such as truck bumps and warehouse stacking). Condition B (Industrial Coatings): May be exposed to high-temperature environments (such as summer open-air transportation) or mechanical shocks (such as forklift loading and unloading). Operating Condition C (Food Spray): Must meet low-temperature storage requirements (such as cold chain transportation), and the can body material is relatively thin (such as aluminum alloy).

[0022] Next, for each type of working condition, three representative transportation scenarios were selected: Scenario 1 (Vibration and Shock): Simulates a truck driving on a bumpy road (vibration frequency 5-20 Hz, acceleration ±0.5g); Scenario 2 (Temperature and Pressure): Simulate a high-temperature warehouse (temperature 40±2℃, lasting 24 hours) or a low-temperature cold chain (-18±2℃). Scenario 3 (Stacked Static Pressure): Simulates warehouse stacking (static pressure of the upper tank on the lower tank is 50-200 N, lasting for 72 hours).

[0023] In each transportation scenario, 1000 sample aerosol cans (covering different specifications) were selected and equipped with sensor modules, including an internal pressure sensor, a can strain gauge, and an environmental sensor. The internal pressure sensor has a range of 0-10 MPa, an accuracy of ±0.1%, and a sampling frequency of 100 Hz. The can strain gauge measures axial and circumferential deformation, with a range of ±5000 με and an accuracy of ±1 με. The environmental sensors include a temperature (-40℃~+80℃) sensor, a humidity (0-100% RH) sensor, and a vibration sensor (triaxial accelerometer).

[0024] Then, pressure change data for each transportation scenario were collected using a sensor module. Taking scenario 1 (vibration and impact) as an example, the aerosol can was fixed on a vibration table, and vibration parameters were set (frequency 10 Hz, acceleration ±0.5g, duration 30 minutes). The pressure P(t), axial deformation ΔL(t), circumferential deformation ΔD(t), and vibration acceleration a(t) inside the can were collected simultaneously. The experiment was repeated 3 times, and the average value was taken to eliminate random errors.

[0025] Furthermore, the electronic device can label the collected pressure change data, indicating the operating condition type (A / B / C) and scene number (1 / 2 / 3). After the pressure change data is collected, the electronic device can use a Butterworth low-pass filter (cutoff frequency 20 Hz) to eliminate high-frequency noise, calculate the pressure change rate dP / dt and deformation rate dΔL / dt, and mark pressure peaks (such as instantaneous pressure fluctuations caused by vibration and impact).

[0026] S12, based on the pressure change data, a multi-stage pressure loading rate curve including "smooth pressure increase - instantaneous impact - pressure holding and stabilization - gradient pressure relief" is preset.

[0027] In this embodiment of the application, the loading process is divided into four stages based on the collected pressure change data, and the objectives of each stage are shown in Table 1 below.

[0028] Table 1: Furthermore, a multi-stage pressure loading rate curve is generated with time (t) on the x-axis and pressure (P) on the y-axis, representing "smooth pressure increase - instantaneous impact - pressure holding and stabilization - gradient pressure release". The multi-stage pressure loading rate curve is composed of four different stage functions. Taking operating condition A (daily chemical products) as an example, the steps for generating the multi-stage pressure loading rate curve are as follows: Step 1, Smooth Pressure Boosting Phase: From the collected pressure-time data, a period of relatively stable pressure rise was selected (e.g., from the 5th to the 15th hour after the start of the experiment), excluding the initial unstable phase and the fluctuation phase near the target pressure. Linear fitting was then performed on the data for this period using data processing software; the slope of the fitted line is the... That is, extract the pressure rise segment from the data in Scenario 3 and fit the slope. : .

[0029] Suppose that in a certain experiment, the time period of pressure rising from 0.2 MPa to 0.7 MPa within 10 seconds is selected, and the result is obtained through fitting calculation. ; boost time The pressure buildup time for aerosol cans is determined based on a combination of factors, including the can's material, wall thickness, and the reasonable time range for pressure accumulation during actual transport. Typically, small-sample tests are conducted initially to observe the can's condition at different pressurization times. Combined with material mechanical property analysis, a time value is selected that simulates the actual pressure accumulation process during transport without causing premature damage to the can. For example, for a certain type of aluminum alloy aerosol can, after multiple tests and analyses, a pressure buildup time was set. =20 s. Additionally, the target pressure... The target pressure for a certain type of aerosol can in a stacked scenario during actual transportation can be determined based on the typical pressure values ​​it experiences. This can be achieved by installing pressure sensors on the can surface for monitoring during actual transportation, or by theoretical calculations (such as based on the number of stacking layers and the can's own weight). For example, through actual monitoring and calculations, the target pressure that a certain type of aerosol can withstand in a stacked scenario can be determined. =1 MPa.

[0030] The function expression corresponding to the steady boost phase is: .

[0031] Step 2, Instantaneous Impact Phase.

[0032] From the collected pressure-time data, identify the phase with the fastest pressure increase, and calculate the pressure change per unit time during that phase. That is, extract the pressure peak from the data in Scenario 1 and calculate the impact loading rate. : .

[0033] Suppose that in a certain experiment, the pressure rises from 1 MPa to 5 MPa within 0.5 seconds, then ; Impact duration The duration of impact is determined based on the typical duration of vibration and impact in actual transportation. Common impact duration ranges can be derived through statistical analysis of a large amount of actual transportation vibration data. For example, for a certain type of transportation, statistics show that the instantaneous impact duration is generally between 0.3 and 0.8 seconds. Combining experimental observations and tank response, the impact duration is then set. =0.5 s. Additionally, the pressure increment... The pressure increase during an instantaneous impact is determined based on the pressure resistance of the aerosol can and the maximum impact pressure it may withstand in actual transportation. Through experiments and theoretical analysis, the pressure increase that the can body can withstand without immediate rupture during the instantaneous impact phase is determined. For example, after multiple impact experiments and analyses, the pressure increment during the instantaneous impact phase for a certain type of aerosol can is determined. =4 MPa ( ).

[0034] The function expression corresponding to the instantaneous impact phase is: .

[0035] Step 3: Pressure holding and stabilization stage.

[0036] Extract the high-temperature pressure holding section from the data in Scenario 2.

[0037] Pressure holding time The pressure holding time is determined based on the range of time the tank may withstand continuous pressure during actual transportation. For example, for industrial paint aerosol cans transported over long distances, they may need to be stored in warehouses or transport vehicles for extended periods. The pressure holding time is set through actual surveys and statistical analysis. =120 s. Additionally, the holding pressure... The pressure is determined by combining the pressure value after the instantaneous impact phase and the pressure resistance of the tank. A pressure value that can simulate the continuous pressure state of actual transportation is selected, ensuring that the tank will not rupture during the pressure holding process. The holding pressure is then determined through experiments and analysis. =5 MPa.

[0038] The function expression corresponding to the voltage holding and stabilizing stage is: .

[0039] Step 4, Gradient decompression stage.

[0040] Extract the pressure decay segment from the data in Scenario 1 and fit the pressure relief exponential function: ; in, To fit an exponential function to the collected pressure-time data from the depressurization process, the exponential coefficients are obtained. For example, by fitting data from a depressurization experiment using data processing software, the following parameters are obtained: Depressurization time The time range for pressure release in actual use is determined. Considering the safety of the canister during depressurization and the feasibility of practical operation, a suitable depressurization time is selected through experimental and theoretical analysis. For example, for a certain type of aerosol can, a depressurization time is set... =100 s. Additionally, the final pressure... The pressure is determined based on the actual usage requirements and safety standards of the aerosol can. Generally, it is required that the pressure inside the can after depressurization is close to atmospheric pressure, while also considering factors such as measurement errors, to determine the final pressure. =0.1 MPa.

[0041] The function expression corresponding to the gradient decompression stage is: .

[0042] Therefore, connecting the curves of the above four stages sequentially forms a complete multi-stage pressure loading rate curve, which includes "smooth pressure increase - instantaneous impact - pressure holding and stabilization - gradient pressure relief". The functional expression of the multi-stage pressure loading rate curve is as follows: .

[0043] S13, acquire the pressure data and deformation data of the aerosol can at the target detection station.

[0044] Each testing station is equipped with an independent pressure loading device, pressure sensor, and deformation measurement device. The pressure loading device applies pressure to the aerosol can, the pressure sensor measures the pressure on the can body in real time, and the deformation measurement device monitors the deformation of the can body under pressure.

[0045] In this embodiment, a high-precision pressure sensor is installed at the contact point between the pressure loading device and the aerosol can at the target detection station. This ensures a tight fit between the sensor and the aerosol can, preventing pressure measurement errors. After installation, the pressure sensor is calibrated by applying a known pressure to it using a standard pressure source. The sensor's output value is recorded, and its parameters are adjusted by comparing it with the standard value to achieve the required measurement accuracy. The pressure loading device is then activated, applying pressure to the aerosol can at a preset initial pressure loading rate. Simultaneously, the pressure sensor collects pressure data from the can in real time and transmits the data to an electronic device. The electronic device records the pressure value at regular time intervals (e.g., every 0.1 seconds), forming a continuous pressure data sequence, i.e., the can pressure data. For example, during the pressure loading process, the pressure sensor records a pressure value of 0 MPa at 0 seconds, 0.05 MPa at 0.1 seconds, 0.1 MPa at 0.2 seconds, and so on. Furthermore, a suitable deformation measurement device, such as a laser displacement sensor or strain gauge, is selected based on the shape and size of the aerosol can. For cylindrical aerosol cans, multiple strain gauges can be evenly arranged on the can's surface, connected to electronic equipment via wires. During installation, ensure the strain gauges are in close contact with the can surface to avoid gaps affecting measurement results. During pressure loading, the deformation measurement device monitors the can's deformation in real time. The strain gauges measure the strain changes on the can's surface, converting them into electrical signals that are transmitted to the electronic equipment. The electronic equipment processes these signals to calculate the can's deformation. For example, at a certain moment, the strain gauge signal, after processing, yields a deformation of 0.01 mm at a specific location on the can. The laser displacement sensor, by emitting a laser beam and measuring the time difference of the reflected light, calculates the change in distance between the can's surface and the sensor, thus obtaining the deformation data.

[0046] S14, compare and analyze the tank body pressure data, the tank body deformation data and the multi-stage pressure loading rate curve, and adjust the first pressure loading rate of the target detection station according to the comparison results.

[0047] The electronic equipment first formulates a corresponding pressure loading rate adjustment strategy based on the comparison results of the can body pressure data and can body deformation data. If the actual pressure is lower than the standard pressure and the deformation is less than the expected deformation, it indicates that the pressure resistance of the aerosol can is strong, and the pressure loading rate can be appropriately increased to shorten the testing time. If the actual pressure is higher than the standard pressure or the deformation is greater than the expected deformation, it indicates that the aerosol can may have insufficient pressure resistance, and the pressure loading rate needs to be reduced to avoid safety accidents such as rupture of the aerosol can due to excessive pressure.

[0048] Since the tank pressure and deformation data are collected in time series, and the multi-stage pressure loading rate curve is also time-axis based, the collected data needs to be time-aligned with the standard curve before comparison. Next, the collected tank pressure data is compared point-by-point with the pressure values ​​on the multi-stage pressure loading rate curve. The difference between the actual pressure value and the standard curve pressure value at each time point is calculated, and the magnitude and direction of the difference are recorded. Simultaneously, the collected tank deformation data is compared with the expected deformation data calculated based on the standard curve. The expected deformation data can be calculated using a deformation-pressure coupling model based on the pressure values ​​on the standard curve. For example, in the instantaneous impact stage, the deformation-pressure coupling model calculates the expected deformation of the tank at a certain pressure value to be 0.05 mm, while the actual collected deformation is 0.06 mm, a difference of 0.01 mm, indicating that the actual deformation is greater than the expected deformation.

[0049] By comprehensively considering the comparison results of pressure and deformation data, the state of the aerosol can during the current pressure loading process is determined. If both the pressure difference and deformation difference are within the allowable error range, it indicates that the pressure resistance performance of the aerosol can meets the requirements, and the current pressure loading rate can continue to be maintained; if the pressure difference or deformation difference exceeds the allowable error range, the pressure loading rate needs to be adjusted according to the magnitude and direction of the difference.

[0050] In an optional implementation, adjusting the first pressure loading rate of the target detection station based on the comparison result includes: When it is determined that the pressure difference or deformation difference exceeds the allowable error range, a relationship model between the pressure difference and the first adjustment coefficient is established, and a relationship model between the deformation difference and the second adjustment coefficient is established; the deformation difference is the comparison result between the tank deformation data and the multi-stage pressure loading rate curve; the first adjustment coefficient is the pressure loading rate adjustment coefficient corresponding to the pressure difference, and the second adjustment coefficient is the pressure loading rate adjustment coefficient corresponding to the deformation difference; Calculate the comprehensive adjustment coefficient based on the first adjustment coefficient and the second adjustment coefficient; The current pressure loading rate of the target detection station is adjusted according to the comprehensive adjustment coefficient to obtain the first pressure loading rate.

[0051] In some embodiments, when the pressure difference or deformation difference exceeds the allowable error range, the electronic device establishes a relationship model between the pressure difference and the pressure loading rate adjustment coefficient. For example, let the pressure difference be ΔP and the adjustment coefficient be k. When ΔP is within a certain range, k = a × ΔP + b (where a and b are constants determined experimentally). If ΔP is positive (actual pressure is higher than standard pressure), then k is negative, indicating that the pressure loading rate needs to be reduced; if ΔP is negative (actual pressure is lower than standard pressure), then k is positive, indicating that the pressure loading rate needs to be increased. Simultaneously, a relationship model is established between the deformation difference and the pressure loading rate adjustment coefficient. Let the deformation difference be ΔS and the adjustment coefficient be m, m = c × ΔS + d (where c and d are constants determined experimentally). Based on the sign and magnitude of the deformation difference, the value of the adjustment coefficient is determined, thereby adjusting the pressure loading rate.

[0052] Taking into account the combined effects of pressure difference and deformation difference on the pressure loading rate, the comprehensive adjustment coefficient K is calculated. A weighted average method can be used, K=w1×k+w2×m (where w1 and w2 are weighting coefficients, determined according to the degree of influence of pressure and deformation on the pressure resistance performance of the aerosol can, for example w1=0.6, w2=0.4).

[0053] Based on the calculated comprehensive adjustment coefficient K, the current pressure loading rate of the target detection station is adjusted, and the adjusted pressure loading rate is called the first pressure loading rate. Let the current pressure loading rate be v, and the adjusted first pressure loading rate be v′, then v′ = v × (1 + K). For example, if the current pressure loading rate is 0.2 MPa / s and the comprehensive adjustment coefficient K = 0.1, then the adjusted pressure loading rate is 0.2 × (1 + 0.1) = 0.22 MPa / s.

[0054] Through the above optional implementation methods, when the pressure or deformation difference exceeds the range, a relationship model between it and the corresponding adjustment coefficient is established. After weighted calculation of the comprehensive adjustment coefficient, the current pressure loading rate is adjusted to obtain the first pressure loading rate. The pressure loading rate can be dynamically adjusted according to the actual pressure resistance of the aerosol can, which can not only avoid safety accidents caused by improper pressure, but also shorten the detection time and effectively improve detection efficiency and safety.

[0055] S15, obtain the specification information of the aerosol can on the target detection station, and adaptively match the second pressure loading rate by combining the can body pressure data and the can body deformation data.

[0056] Different aerosol cans, due to differences in material properties and structural dimensions, exhibit varying deformation characteristics under the same pressure, resulting in different adaptability to pressure loading rates. Therefore, to further improve the accuracy and reliability of testing, it is necessary to fully consider the aerosol can specification information—a crucial factor—and, combined with acquired can pressure and deformation data, adaptively match a second pressure loading rate that better suits the characteristics of the current testing object. This provides a precise basis for determining the subsequent comprehensive pressure loading rate.

[0057] In an optional implementation, the step of acquiring the specification information of the aerosol can at the target detection station, and combining it with the can body pressure data and the can body deformation data to adaptively match the second pressure loading rate includes: Based on the specifications, construct a deformation-pressure coupling model corresponding to the tank body pressure data and the tank body deformation data; The deformation-pressure coupling model is updated by fitting the deformation-pressure data pairs within the current detection period using the least squares method. Based on the updated deformation-pressure coupling model, predict the limiting deformation of the tank at the current pressure loading rate; When it is determined that the limiting deformation exceeds the preset safe deformation threshold, the correction amount of the second pressure loading rate is calculated; The correction amount is combined with the preset standard rate to obtain the second pressure loading rate.

[0058] The specifications of the aerosol can include the type of can material, the thickness of the can wall, and the diameter of the can.

[0059] In some embodiments, the electronic device first looks up the elastic modulus E from a preset material-elastic modulus mapping table based on the can material type. This material-elastic modulus mapping table is pre-established based on extensive experimental and theoretical research, covering common aerosol can materials (such as aluminum alloy, tinplate, etc.) and their corresponding elastic modulus E values. For example, if the extracted can material is aluminum alloy, its elastic modulus E can be found to be 70 GPa from the mapping table. Similarly, the Poisson's ratio ν is obtained from a preset material-Poisson's ratio mapping table based on the can material type. Different materials have different Poisson's ratio characteristics; for example, the Poisson's ratio of aluminum alloy is typically around 0.33.

[0060] Once the elastic modulus E and Poisson's ratio v are obtained, the tank stiffness coefficient K is calculated by combining the tank wall thickness d and the tank diameter D: K = E * d³ / (12 * (1 - ν²) * D²).

[0061] In addition, the electronic equipment has already established a real-time correlation model between the tank deformation data and the tank pressure data in step S14 above, namely, a deformation-pressure coupling model: ΔL = (P * D) / (2 * K) + ε; Where ΔL is the axial deformation of the tank body, P is the tank body pressure data, and ε is the deformation noise compensation term.

[0062] It should be noted that ε is obtained from historical deformation data. Specifically, the electronic equipment can retrieve a large amount of historical testing data from the database, analyze the fluctuation of tank deformation under different pressure conditions, and use statistical methods (such as calculating the mean and standard deviation) to determine the deformation noise compensation term. The range and typical value of ε are also determined. For example, analysis shows that under normal testing conditions, the average value of ε is approximately 0.01 mm.

[0063] During the current inspection cycle, electronic equipment collects tank deformation and pressure data in real time, forming deformation-pressure data pairs. Then, the least squares method is used to fit the deformation-pressure data pairs within the current inspection cycle, dynamically updating the model parameters K and ε.

[0064] Furthermore, the electronic device can predict the limiting deformation ΔL_max of the tank at the current pressure loading rate based on the updated deformation-pressure coupling model. If ΔL_max exceeds the preset safe deformation threshold ΔL_safe, the second pressure loading rate correction ΔP_spec is calculated using the following formula: ΔP_spec = -α * (ΔL_max - ΔL_safe) / (D / (2 * K)); Wherein, α is the rate correction coefficient (0<α≤1), which is determined by the type of sealing structure. Different types of sealing structures are sensitive to pressure changes to varying degrees.

[0065] Next, the electronic device fuses the correction amount ΔP_spec with the preset specification reference rate P_base to obtain the second pressure loading rate: P_spec = P_base + ΔP_spec. Here, P_base is obtained from a preset rate-specification mapping table based on the can's material type and wall thickness. The rate-specification mapping table was established by analyzing and summarizing pressure resistance test data from a large number of aerosol cans of different specifications, providing a suitable reference pressure loading rate for each common aerosol can specification.

[0066] Through the above optional implementation methods, a deformation-pressure coupling model is constructed based on specification information. The model is updated by fitting real-time data to predict the limit deformation. If the deformation exceeds the safety threshold, the correction amount of the second pressure loading rate is calculated and fused with the specification reference rate to obtain the second pressure loading rate. This can accurately match the characteristics of aerosol cans of different specifications, adaptively adjust the pressure loading rate, effectively avoid detection errors or safety accidents caused by improper pressure, and improve the accuracy and reliability of aerosol can pressure resistance strength testing.

[0067] S16, the first pressure loading rate and the second pressure loading rate are fused to obtain the comprehensive pressure loading rate.

[0068] After adjusting the first pressure loading rate at the target testing station and adaptively matching the second pressure loading rate based on the aerosol can specification information, in order to achieve more accurate and effective pressure resistance testing of the aerosol can, it is necessary to integrate the two pressure loading rates to obtain a comprehensive pressure loading rate that takes into account both the testing conditions and the characteristics of the aerosol can itself, thus providing a more reliable basis for the subsequent station testing device to conduct batch testing of the aerosol can.

[0069] In an optional implementation, fusing the first pressure loading rate and the second pressure loading rate to obtain a comprehensive pressure loading rate includes: Based on the material type in the specification information, the basic weight coefficient is queried from the preset material-weight mapping table; A dynamic adjustment factor is calculated based on the volatility of the tank deformation data. The basic weight coefficient is fused with the dynamic adjustment factor to obtain the first weight of the first pressure loading rate; The second weight of the second pressure loading rate is determined based on the first weight; the sum of the first weight and the second weight is 1. The first pressure loading rate and the second pressure loading rate are weighted and fused according to the first weight and the second weight to obtain the comprehensive pressure loading rate.

[0070] In some embodiments, the electronic device pre-sets a material-weight mapping table, which is derived through extensive experiments and data analysis. For example, for common aluminum alloy aerosol cans, due to their good mechanical properties and stability, the corresponding basic weight coefficient α is set to 0.7 in the pressure resistance test, as determined from the mapping table. For plastic aerosol cans, because their mechanical properties are relatively weak and more susceptible to pressure variations, the obtained basic weight coefficient α is 0.55. In this way, the basic weight coefficient α is accurately obtained according to different material types, ensuring that 0.5 ≤ α ≤ 0.9.

[0071] After obtaining the deformation data of the aerosol can at the target inspection station, the volatility β of the deformation data is calculated, where β = standard deviation of deformation / mean of deformation.

[0072] To avoid detection instability caused by sudden weight changes, the Sigmoid function is chosen to calculate the dynamic adjustment factor. γ : ; in, γ As a dynamic adjustment factor, β For volatility, The deformation fluctuation threshold, k This is the sensitivity coefficient.

[0073] Next, the basic weight coefficient α is fused with the dynamic adjustment factor γ to obtain the final weight of the first pressure loading rate, which is called the first weight, W_real=α*(1-γ) + (1-α)*γ.

[0074] Based on the first weight of the first pressure loading rate, the weight of the second pressure loading rate is set to W_spec=1-W_real.

[0075] Furthermore, the first pressure loading rate and the second pressure loading rate are weighted and summed according to weights W_real and W_spec to obtain the comprehensive pressure loading rate: P_com = W_real * P_real + W_spec * P_spec; Wherein, P_real is the first pressure loading rate, and P_spec is the second pressure loading rate.

[0076] Through the above optional implementation methods, the basic weight coefficient is looked up from a preset table based on the material of the aerosol can, and then a dynamic adjustment factor is calculated based on the deformation data fluctuation rate. The first weight of the first pressure loading rate is obtained by fusion, and then the second weight is determined. Finally, the two are weighted and fused to obtain the comprehensive pressure loading rate. This fully considers the testing conditions and the characteristics of the aerosol can itself. By reasonably allocating the weights, the comprehensive rate can be more accurately adapted to the aerosol can testing, effectively improving the reliability and accuracy of the testing and providing a reliable basis for batch testing.

[0077] S17, according to the comprehensive pressure loading rate, control the station detection device on the target detection station to perform batch detection of aerosol cans.

[0078] The calculated comprehensive pressure loading rate is sent to the pressure loading device at the target testing station. The testing device at the target testing station performs batch pressure resistance tests on the aerosol cans according to this comprehensive pressure loading rate. During the testing process, the testing device monitors the can body pressure data and can body deformation data in real time, and repeats steps S13 to S16 until the pressure resistance test of the aerosol cans is completed. If any abnormal data is found, such as excessively rapid pressure rise or excessive deformation exceeding the safety threshold, the testing is immediately stopped and troubleshooting and handling are carried out to ensure the safety and accuracy of the testing process. At the same time, relevant data from each test are recorded for subsequent analysis and optimization of testing methods and parameters.

[0079] In an optional implementation, the method further includes: Record the detection data of each aerosol can at the target detection station; Based on the test data, determine whether the ultimate pressure resistance performance of each aerosol can meets the standard requirements; When it is determined that the standard requirements are met, a test report is generated for each aerosol can based on the test data.

[0080] In some embodiments, when the station testing device performs pressure resistance testing on the aerosol cans according to the comprehensive pressure loading rate, the station testing device begins to record the testing data of each aerosol can in real time and feeds the testing data of each aerosol can back to the electronic device. The testing data may include, but is not limited to: can body pressure data, can body deformation data, and testing time data. The testing data of each aerosol can exists in the form of an independent record and is associated with the unique identification information of the aerosol can (such as product number), facilitating subsequent querying and analysis.

[0081] After recording the test data for all aerosol cans, the process moves to the ultimate pressure resistance performance assessment stage. This involves analyzing and assessing the test data for each aerosol can based on preset standard requirements, including: Standard requirements are set in advance: based on the type and application of the aerosol can and relevant industry standards, the standard requirements for the ultimate pressure resistance are pre-defined. For example, for a certain type of cosmetic aerosol can, the ultimate pressure resistance value is specified to be 10 MPa, and the deformation of the can body shall not exceed 0.5 mm when the ultimate pressure resistance value is reached.

[0082] Data analysis and judgment: First, check whether the pressure data reaches or exceeds the ultimate pressure resistance value. If the pressure data does not reach the ultimate pressure resistance value, the aerosol can is directly judged to have an ultimate pressure resistance performance that does not meet the standard requirements. If the pressure data reaches or exceeds the ultimate pressure resistance value, further check the corresponding deformation data. If the deformation data does not exceed the preset deformation threshold, the aerosol can is judged to have an ultimate pressure resistance performance that meets the standard requirements; otherwise, if the deformation data exceeds the deformation threshold, it is judged to have a non-compliance with the standard requirements.

[0083] When the system determines that the ultimate pressure resistance of a certain aerosol can meets the standard requirements, the electronic equipment automatically triggers the test report generation function to fill in the data and generate the report according to the preset report template. The generated test report will be stored in a designated report storage directory, and the corresponding test report can be quickly searched and downloaded by using key information such as the product number of the aerosol can through the query interface provided by the system, making it convenient for relevant personnel to view and use.

[0084] Through the above optional implementation methods, the functions of recording the test data of each aerosol can at the target testing station, judging whether the ultimate pressure resistance performance meets the standard requirements based on the test data, and generating test reports for aerosol cans that meet the standard requirements are fully realized, providing strong support for the quality control and production management of aerosol cans.

[0085] Reference Figure 2 The diagram shown is a functional block diagram of the pressure loading rate control device for detecting the pressure resistance strength of an aerosol can, as illustrated in an embodiment of this application.

[0086] In some embodiments, the aerosol can pressure resistance testing pressure loading rate control device 20 may include multiple functional modules composed of computer program segments. The computer programs for each program segment of the aerosol can pressure resistance testing pressure loading rate control device 20 may be stored in the memory of an electronic device and executed by at least one processor to perform (see details). Figure 1 (Description) This application describes the function of aerosol can pressure resistance strength detection and pressure loading rate control. Based on its function, it can be divided into multiple functional modules. These modules may include: a data acquisition module 201, a preset module 202, an acquisition module 203, an adjustment module 204, an adaptive module 205, a fusion module 206, and a control module 207. The term "module" in this application refers to a series of computer program segments that can be executed by at least one processor and perform a fixed function, stored in memory. In this embodiment, the functions of each module will be detailed in subsequent embodiments.

[0087] The acquisition module 201 is used to collect pressure change data under multiple transportation scenarios based on the actual working conditions of different types of aerosol cans. The preset module 202 is used to preset a multi-stage pressure loading rate curve including "smooth pressure increase - instantaneous impact - pressure holding and stabilization - gradient pressure relief" based on the pressure change data.

[0088] The acquisition module 203 is used to acquire the pressure data and deformation data of the aerosol cans at the target inspection station; the target inspection station is any one of multiple independent inspection stations, and the multiple independent inspection stations simultaneously perform pressure resistance tests on multiple aerosol cans.

[0089] The adjustment module 204 is used to compare and analyze the tank pressure data, the tank deformation data and the multi-stage pressure loading rate curve, and adjust the first pressure loading rate of the target detection station according to the comparison results.

[0090] The adaptive module 205 is used to acquire the specification information of the aerosol can on the target detection station, and adaptively match the second pressure loading rate by combining the can body pressure data and the can body deformation data.

[0091] The fusion module 206 is used to fuse the first pressure loading rate and the second pressure loading rate to obtain a comprehensive pressure loading rate.

[0092] The control module 207 is used to control the station detection device on the target detection station to perform batch detection of aerosol cans according to the comprehensive pressure loading rate.

[0093] It should be understood that the various variations and specific embodiments of the aerosol can pressure resistance strength detection pressure loading rate control method provided in the above embodiments are also applicable to the aerosol can pressure resistance strength detection pressure loading rate control device of this embodiment. Through the foregoing detailed description of the aerosol can pressure resistance strength detection pressure loading rate control method, those skilled in the art can clearly understand the implementation method of the aerosol can pressure resistance strength detection pressure loading rate control device of this embodiment. For the sake of brevity, it will not be described in detail here.

[0094] See Figure 3 The diagram shown is a schematic representation of the structure of an electronic device according to an embodiment of this application. In a preferred embodiment of this application, the electronic device 3 includes a memory 31, at least one processor 32, and at least one communication bus 33.

[0095] Those skilled in the art should understand that Figure 3 The structure of the electronic device shown does not constitute a limitation of the embodiments of this application. It can be a bus structure or a star structure. The electronic device 3 may also include more or fewer other hardware or software than shown, or different component arrangements.

[0096] In some embodiments, the electronic device 3 is a device capable of automatically performing numerical calculations and / or information processing according to pre-set or stored instructions. Its hardware includes, but is not limited to, microprocessors, application-specific integrated circuits (ASICs), programmable gate arrays (FPGAs), digital processors, and embedded devices. The electronic device 3 may also include user equipment, which includes, but is not limited to, any electronic product capable of human-computer interaction with a user via a keyboard, mouse, remote control, touchpad, or voice control device, such as a personal computer, tablet computer, smartphone, or digital camera.

[0097] In the embodiments provided in this application, it should be understood that the disclosed methods, apparatuses, computer-readable storage media, and electronic devices can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative. For instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple components or modules may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices, components, or modules may be electrical, mechanical, or other forms.

[0098] The components described as separate parts may or may not be physically separate. The components shown as components may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the components can be selected to achieve the purpose of this embodiment according to actual needs.

[0099] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each component can exist physically separately, or two or more modules can be integrated into one module. The integrated modules described above can be implemented in hardware or as software functional modules.

[0100] If the integrated module is implemented as a software functional module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drive, portable hard drive, read-only memory (ROM). Various media that can store program code, such as only memory, random access memory (RAM), magnetic disks or optical disks.

[0101] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that the present invention is not limited to the described order of actions, because according to the present invention, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to the present invention.

[0102] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0103] The above is a detailed description of the preferred embodiments of the present invention. However, the present invention is not limited to the embodiments described. Those skilled in the art can make various equivalent modifications or substitutions without departing from the spirit of the present invention. All such equivalent modifications or substitutions are included within the scope defined by the claims of this application.

Claims

1. A method for controlling the pressure loading rate when testing the pressure resistance of an aerosol can, characterized in that, The method includes: Based on the actual working conditions of different types of aerosol cans, pressure change data were collected under multiple transportation scenarios. Based on the pressure change data, a multi-stage pressure loading rate curve is preset, including "smooth pressure increase - instantaneous impact - pressure holding and stabilization - gradient pressure relief"; Acquire the pressure and deformation data of the aerosol cans at the target testing station; the target testing station is any one of multiple independent testing stations, which simultaneously perform pressure resistance tests on multiple aerosol cans. The tank body pressure data, the tank body deformation data, and the multi-stage pressure loading rate curve are compared and analyzed, and the first pressure loading rate of the target detection station is adjusted according to the comparison results. Obtain the specification information of the aerosol can on the target detection station, and combine it with the can body pressure data and the can body deformation data to adaptively match the second pressure loading rate; The first pressure loading rate and the second pressure loading rate are combined to obtain the comprehensive pressure loading rate; The station detection device at the target detection station is controlled to perform batch detection of aerosol cans according to the comprehensive pressure loading rate.

2. The method for controlling the pressure loading rate of aerosol can pressure resistance testing according to claim 1, characterized in that, The step of obtaining the specification information of the aerosol can at the target detection station, and combining it with the can body pressure data and can body deformation data to adaptively match the second pressure loading rate includes: Based on the specifications, construct a deformation-pressure coupling model corresponding to the tank body pressure data and the tank body deformation data; The deformation-pressure coupling model is updated by fitting the deformation-pressure data pairs within the current detection period using the least squares method. Based on the updated deformation-pressure coupling model, predict the limiting deformation of the tank at the current pressure loading rate; When it is determined that the limiting deformation exceeds the preset safe deformation threshold, the correction amount of the second pressure loading rate is calculated; The correction amount is combined with the preset standard rate to obtain the second pressure loading rate.

3. The method for controlling the pressure loading rate of an aerosol can for pressure resistance testing according to claim 2, characterized in that, The step of constructing the deformation-pressure coupling model corresponding to the tank body pressure data and tank body deformation data based on the specification information includes: Based on the tank material type, the elastic modulus is queried from a preset material-elastic modulus mapping table; the specification information includes the tank material type, tank wall thickness, and tank diameter; The tank stiffness coefficient is calculated based on the tank wall thickness, the tank diameter, and the elastic modulus. The deformation-pressure coupling model is constructed based on the tank pressure data, the tank diameter, the tank stiffness coefficient, and the deformation noise compensation term corresponding to the tank deformation data.

4. The method for controlling the pressure loading rate of an aerosol can for pressure resistance testing according to claim 1, characterized in that, The step of adjusting the first pressure loading rate of the target detection station based on the comparison results includes: When the pressure difference or deformation difference is determined to exceed the allowable error range, a relationship model between the pressure difference and a first adjustment coefficient, and a relationship model between the deformation difference and a second adjustment coefficient are established; the pressure difference is the comparison result of the tank body pressure data and the multi-stage pressure loading rate curve, and the deformation difference is the comparison result of the tank body deformation data and the multi-stage pressure loading rate curve; the first adjustment coefficient is the pressure loading rate adjustment coefficient corresponding to the pressure difference, and the second adjustment coefficient is the pressure loading rate adjustment coefficient corresponding to the deformation difference; Calculate the comprehensive adjustment coefficient based on the first adjustment coefficient and the second adjustment coefficient; The current pressure loading rate of the target detection station is adjusted according to the comprehensive adjustment coefficient to obtain the first pressure loading rate.

5. The method for controlling the pressure loading rate of an aerosol can for pressure resistance testing according to claim 1, characterized in that, The step of fusing the first pressure loading rate and the second pressure loading rate to obtain the comprehensive pressure loading rate includes: Based on the material type in the specification information, the basic weight coefficient is queried from the preset material-weight mapping table; A dynamic adjustment factor is calculated based on the volatility of the tank deformation data. The basic weight coefficient is fused with the dynamic adjustment factor to obtain the first weight of the first pressure loading rate; The second weight of the second pressure loading rate is determined based on the first weight; the sum of the first weight and the second weight is 1. The first pressure loading rate and the second pressure loading rate are weighted and fused according to the first weight and the second weight to obtain the comprehensive pressure loading rate.

6. The method for controlling the pressure loading rate of an aerosol can for pressure resistance testing according to claim 5, characterized in that, The calculation of the dynamic adjustment factor based on the volatility of the tank deformation data includes: The dynamic adjustment factor is calculated using the following formula. γ : ； in, γ As a dynamic adjustment factor, β Volatility ( β =Standard deviation of deformation / Mean of deformation), The deformation fluctuation threshold, k This is the sensitivity coefficient.

7. The method for controlling the pressure loading rate of an aerosol can for pressure resistance testing according to any one of claims 1 to 6, characterized in that, The method further includes: Record the detection data of each aerosol can at the target detection station; Based on the test data, determine whether the ultimate pressure resistance performance of each aerosol can meets the standard requirements; When it is determined that the standard requirements are met, a test report is generated for each aerosol can based on the test data.

8. A pressure loading rate control device for testing the pressure resistance of an aerosol can, characterized in that, The device includes: The data acquisition module is used to collect pressure change data under multiple transportation scenarios based on the actual working conditions of different types of aerosol cans. The preset module is used to preset a multi-stage pressure loading rate curve including "smooth pressure increase - instantaneous impact - pressure holding and stabilization - gradient pressure relief" based on the pressure change data; The acquisition module is used to acquire the pressure data and deformation data of the aerosol cans at the target inspection station; the target inspection station is any one of multiple independent inspection stations, and the multiple independent inspection stations simultaneously perform pressure resistance tests on multiple aerosol cans; The adjustment module is used to compare and analyze the tank body pressure data, the tank body deformation data and the multi-stage pressure loading rate curve, and adjust the first pressure loading rate of the target detection station according to the comparison results. An adaptive module is used to acquire the specification information of the aerosol cans at the target detection station, and adaptively match the second pressure loading rate by combining the can body pressure data and the can body deformation data. The fusion module is used to fuse the first pressure loading rate and the second pressure loading rate to obtain a comprehensive pressure loading rate. The control module is used to control the station detection device on the target detection station to perform batch detection of aerosol cans according to the comprehensive pressure loading rate.

9. An electronic device, characterized in that, The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the pressure loading rate control method for detecting the pressure resistance of an aerosol can as described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the pressure loading rate control method for detecting the pressure resistance strength of an aerosol can as described in any one of claims 1 to 7.

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