Compressed air monitoring method and system, terminal equipment and storage medium

Abstract

The invention relates to the technical field of compressed air monitoring, in particular to a compressed air monitoring method and system, terminal equipment and a storage medium, and the method comprises the following steps: acquiring flow data of gas flowmeters on all compressed air branches in real time through a data acquisition gateway; acquiring operation state information of each gas utilization device through the data acquisition gateway; judging whether the gas utilization equipment is in a non-production state or not based on the operation state information of the gas utilization equipment; and when the gas consumption equipment is in a non-production state, if continuously detecting that the flow change of the gas flow meter exceeds a preset time threshold value, determining that gas leakage exists in the corresponding compressed air branch, and calculating the leakage volume based on the flow data within the time threshold value. And accurate real-time monitoring of the compressed air is realized.

Description

Technical Field

[0001] This application relates to the field of compressed air monitoring technology, and in particular to a compressed air monitoring method, system, terminal equipment and storage medium. Background Technology

[0002] In the four major workshops of the automotive manufacturing industry, compressed air, as the "fourth largest energy source" (after electricity, water, and gas), is widely used in processes such as fixtures, cylinder drives, welding torch cooling, and dust removal. It is an indispensable power source, with applications including welding fixtures and positioning, welding torch cooling, purging and cleaning, and automation devices. In the workshop, hundreds to thousands of cylinders provide welding fixtures and positioning capabilities, resulting in a huge consumption of compressed air. Furthermore, due to the fast production cycle (30-60 seconds per vehicle), the compressed air supply must be stable and reliable; otherwise, the entire production line rhythm will be affected. In terms of cost and energy efficiency, compressed air system energy consumption typically accounts for a large proportion of production energy consumption. The gas delivery process and terminal equipment applications often suffer from high long-term operating costs due to aging pipes, joints, and valves, or untimely maintenance. Therefore, effective monitoring of compressed air leaks is necessary. Summary of the Invention

[0003] In view of this, embodiments of this application provide a compressed air monitoring method, system, terminal equipment, and storage medium, which can effectively solve the problem of untimely detection of compressed air leaks.

[0004] In a first aspect, embodiments of this application provide a compressed air monitoring method, including: The flow data of the gas flow meters on each compressed air branch is acquired in real time through the data acquisition gateway. The data acquisition gateway collects the operating status information of each gas-consuming device. Based on the operating status information of the gas-consuming equipment, determine whether the gas-consuming equipment is currently in a non-production state; When the gas-using equipment is not in production, if the flow rate change of the gas flow meter is continuously detected to exceed a preset time threshold, it is determined that there is a gas leak in the corresponding compressed air branch, and the leak volume is calculated based on the flow rate data within the time threshold.

[0005] In some embodiments, the method further includes: In the non-production state, the gas-using equipment periodically records the cumulative flow value of the gas flow meter every hour, calculates the leakage flow per unit time by the difference in cumulative flow between adjacent times, and accumulates them to obtain the total leakage volume of the compressed air branch during the non-production period.

[0006] In some embodiments, the preset time threshold is 6 to 15 minutes.

[0007] In some embodiments, after the gas-using equipment switches from a non-production state to a production state, it further includes: Extract the average leakage flow rate during the non-production state within a preset time period before entering the production state; The duration of statistical production status; The total leakage volume of the compressed air branch during the production state is estimated based on the product of the average leakage flow rate and the duration of the production state.

[0008] In some embodiments, the formula for calculating the total leakage volume of the compressed air branch during the production state is: ; In the formula, V m The total leakage volume is t1, and the production time is t1. This represents the average flow rate of the gas leak.

[0009] In some embodiments, the gas flow meter is installed at the inlet of the compressed air branch corresponding to each independent workstation or functional area to perform independent leakage monitoring in different areas.

[0010] Secondly, this application also provides a compressed air monitoring system, including: a data acquisition gateway, a gas flow meter, and a central processing unit; The gas flow meters are installed on each compressed air branch; The data acquisition gateway is used to acquire the flow data of the gas flow meters on each compressed air branch in real time, and to collect the operating status information of each gas-consuming device. The central processing unit is used to determine whether the gas-consuming equipment is currently in a non-production state based on the operating status information of the gas-consuming equipment. The central processing unit is also used to determine that there is a gas leak in the corresponding compressed air branch when the gas-using equipment is in a non-production state and the flow rate change of the gas flow meter is continuously detected to exceed a preset time threshold, and to calculate the leak volume based on the flow rate data within the time threshold.

[0011] In some embodiments, the central processing unit is further configured with a visualization interface for displaying the real-time flow rate, gas consumption, leakage, and time-related trend graphs of each pipeline.

[0012] Thirdly, this application also provides a terminal device, the terminal device including a processor and a memory, the memory storing a computer program, and the processor executing the computer program to implement the compressed air monitoring method described above.

[0013] Fourthly, this application also provides a readable storage medium storing a computer program that, when executed on a processor, implements the compressed air monitoring method described above.

[0014] The embodiments of this application have the following beneficial effects: The method in this embodiment acquires flow data from gas flow meters on each compressed air branch in real time through a data acquisition gateway; it also collects operating status information of each gas-consuming device through the data acquisition gateway; based on the operating status information of the gas-consuming device, it determines whether the gas-consuming device is currently in a non-production state; when the gas-consuming device is in a non-production state, if the flow rate change of the gas flow meter is continuously detected to exceed a preset time threshold, it is determined that there is a gas leak in the corresponding compressed air branch, and the leak volume is calculated based on the flow rate data within the time threshold. This achieves high-precision, automated, and full-process management of compressed air leaks, solving the long-standing problem of untimely detection of compressed air leaks in the manufacturing industry. Attached Figure Description

[0015] To more clearly illustrate the technical solutions of the embodiments of this application, the accompanying drawings used in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of this application and should not be regarded as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 A schematic flowchart of a compressed air monitoring method according to an embodiment of this application is shown; Figure 2 A schematic diagram of a compressed air circuit structure according to an embodiment of this application is shown; Figure 3 A schematic flowchart of another compressed air monitoring method according to an embodiment of this application is shown; Figure 4 A schematic diagram of a compressed air monitoring system according to an embodiment of this application is shown; Figure 5 This illustration shows a trend of total pipeline leakage and duration according to an embodiment of this application. Detailed Implementation

[0017] The technical solutions in the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments.

[0018] The components of the embodiments of this application described and illustrated in the accompanying drawings can be arranged and designed in a variety of different configurations. Therefore, the following detailed description of the embodiments of this application provided in the drawings is not intended to limit the scope of the claimed application, but merely to illustrate selected embodiments of the application. All other embodiments obtained by those skilled in the art based on the embodiments of this application without inventive effort are within the scope of protection of this application.

[0019] In the following text, the terms "comprising," "having," and their cognates, which may be used in various embodiments of this application, are intended only to indicate a particular feature, number, step, operation, element, component, or combination thereof, and should not be construed as primarily excluding the presence of one or more other features, numbers, steps, operations, elements, components, or combinations thereof, or adding the possibility of one or more combinations thereof. Furthermore, the terms "first," "second," "third," etc., are used only for distinguishing descriptions and should not be construed as indicating or implying relative importance.

[0020] Unless otherwise specified, all terms used herein (including technical and scientific terms) shall have the same meaning as commonly understood by one of ordinary skill in the art to which the various embodiments of this application pertain. Terms (such as those defined in commonly used dictionaries) shall be interpreted as having the same meaning as in their contextual meaning in the relevant technical field and shall not be construed as having an idealized or overly formal meaning, unless clearly defined in the various embodiments of this application.

[0021] The following detailed description of some embodiments of this application is provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.

[0022] To address the problems of existing technologies, this application provides a compressed air monitoring method. This method involves acquiring flow data from gas flow meters on each compressed air branch in real time via a data acquisition gateway; collecting operating status information of each gas-consuming device via the data acquisition gateway; determining whether the gas-consuming device is currently in a non-production state based on the operating status information; and, if the flow rate change of the gas flow meter continuously exceeds a preset time threshold when the gas-consuming device is in a non-production state, determining that there is a gas leak in the corresponding compressed air branch, and calculating the leak volume based on the flow rate data within the time threshold. This achieves monitoring of compressed gas leaks in each pipeline.

[0023] The compressed air monitoring method will be described below with reference to some specific embodiments.

[0024] Figure 1A flowchart of a compressed air monitoring method according to an embodiment of this application is shown. Exemplarily, the compressed air monitoring method includes the following steps: Step S100: Obtain the flow data of the gas flow meters on each compressed air branch in real time through the data acquisition gateway.

[0025] The method in this embodiment is applied to a compressed air monitoring system. This system mainly includes a data acquisition gateway and a gas flow meter. The gas flow meter is primarily installed on the compressed air branches in the compressed air work area and can collect flow rate data for the gas flow in each compressed air branch. Its installation structure is as follows... Figure 2 As shown.

[0026] The main compressed air line 100 is connected to multiple compressed air branch lines 110. The end of each compressed air branch line 110 is connected to the corresponding air-consuming equipment 120 for supplying air to these air-consuming equipment. Each compressed air branch line 110 is also equipped with a gas flow meter 130 to record the gas flow rate.

[0027] In another feasible embodiment, a gas flow meter 130 may also be installed on the compressed air main line 100 to collect the total flow rate.

[0028] A data acquisition gateway can be a router that can build a network with various gas flow meters via wired or wireless means, and then periodically access and acquire the flow data from these gas flow meters.

[0029] Step S200: Collect the operating status information of each gas-consuming device through the data acquisition gateway.

[0030] The data acquisition gateway in this embodiment can also collect the operating status information of each gas-consuming device. It can be understood that gas-consuming devices need to be connected to the network for control, so as long as the data acquisition gateway is connected to the corresponding network, it can perform the corresponding data acquisition operation.

[0031] The aforementioned pneumatic equipment includes workstations, gripper robots, and all cylinders within the workstations. Their operational status information refers to the real-time status of these devices, such as whether they are operating, their current position, and their movement. This operational status information can be used to determine whether these pneumatic devices are in production mode.

[0032] It is understandable that gas-using equipment will definitely use gas when it is operating, so there will be gas flow in its corresponding pipeline. However, if it is not working, the presence of gas flow in its corresponding pipeline indicates a gas leak. Therefore, this embodiment will also acquire the operating status information of each gas-using device to assist in subsequent gas leak detection.

[0033] Step S300: Determine whether the gas-consuming equipment is currently in a non-production state based on the operating status information of the gas-consuming equipment.

[0034] For a workstation, being in manual or automatic mode can be considered a non-production state. For a gripper robot, being outside the work path and in its original position can be considered a non-production state. For a cylinder, when the cylinder does not move, it can be determined that the cylinder is in a non-production state.

[0035] The above-mentioned judgment conditions are illustrative examples. In the entire system, different judgment conditions need to be set for different gas-consuming devices to determine whether these gas-consuming devices are in a non-production state.

[0036] In step S400, when the gas-using equipment is in a non-production state, if the flow rate change of the gas flow meter is continuously detected to exceed a preset time threshold, it is determined that there is a gas leak in the corresponding compressed air branch, and the leak volume is calculated based on the flow rate data within the time threshold.

[0037] If, during non-production conditions, the gas flow meter still detects a continuous flow rate, i.e., the instantaneous flow rate is greater than a preset threshold, and the flow rate data shows an increasing trend for a continuous preset time, then it is determined that there is a gas leak in that branch.

[0038] Furthermore, considering the inherent measurement noise of the flow meter (such as minor vibrations, temperature drift, and zero-point drift), directly reading low flow rates may lead to misjudgments. Therefore, statistical analysis can be performed on data from N consecutive minutes (e.g., N=5). Only if the standard deviation is less than a set threshold and the average flow rate is greater than the minimum detection threshold (e.g., 0.01 m³ / h) is it considered a true leak.

[0039] In addition, if a momentary high flow occurs (such as when a valve is accidentally opened), but the duration is less than 30 seconds, it is considered an interference event and is not included in the total leakage.

[0040] The preset time threshold mentioned above is between 6 and 15 minutes, such as 10 minutes. This preset time can be determined by testing or by experience.

[0041] In addition to determining that there is a leak in the branch, this embodiment will also calculate the leak volume of gas in order to monitor the leak situation.

[0042] As can be seen from the aforementioned steps, the data acquisition gateway continuously collects pipeline flow data. Therefore, based on the collected data, the total difference can be calculated per minute or per hour, which can be used to calculate the total leakage during non-production time.

[0043] If the cumulative flow rate of the flow meter at 10 PM is Q1 (m³ / h), and the cumulative flow rate at 11 PM is Q2 (m³ / h), then the leakage flow rate Q in the pipeline from 10 PM to 11 PM is Q. 10 = Q2 - Q1, and so on, to calculate the total leakage Q per hour for each pipe. n =Q0+Q1+Q2+…+Q 23 (0, 1, 2...23 represent time periods, with 1 hour as the smallest unit), at this time the leakage volume of the pipeline is V1=Qn.

[0044] It is understood that the data acquisition gateway in this embodiment collects the values ​​of gas flow meters on each branch. Each branch is connected to each gas-consuming device. Therefore, the above calculation is the calculation of the leakage volume of a single branch pipe. To calculate the total leakage volume, the leakage volumes calculated for each branch are added together.

[0045] It is understandable that when the flow rate of a branch in a certain area increases abnormally, and multiple terminal compressed air branches under it are not in use, it can be inferred that the leak is in the main section of that branch; conversely, if only a single compressed air branch is abnormal, then the focus should be on investigating that branch.

[0046] This embodiment also provides a gas leakage flow monitoring process when gas-using equipment switches from a non-production state to a production state. The process is as follows: Figure 3 As shown, it includes: Step S500: Extract the average leakage flow rate during the non-production state within a preset time period before entering the production state.

[0047] The production line station status will change to automatic, but before rectification and repair, gas will continue to leak even in production mode. In this state, first calculate the average gas leakage flow rate per minute within the preset time period before production.

[0048] As an example, if a stable low-speed flow (e.g., 0.01~0.5 m³ / h) is detected in a compressed air branch for N consecutive minutes (N≥10 recommended), and all associated terminal devices are in a closed / stationary / non-operational state during this time (confirmed by PLC status), then the flow is determined to be a background leakage flow.

[0049] For example, if the PLC shows no cylinder movement, no robot movement, and no clamping of the clamps in a certain workstation's compressed air branch between 2:00 AM and 5:00 AM, but the flow meter shows that 0.32 m³ of gas is still passing through per hour, then this value is considered the static leakage benchmark for that node.

[0050] The preset time period mentioned above should not be too short. For ease of explanation, this embodiment uses 1 hour as an example.

[0051] Therefore, the average gas leakage flow rate per minute =(Q0+Q1+Q2+…+Q 59 )÷60.

[0052] Where 0, 1, 2…59 represent time periods, with 1 minute as the smallest unit. The average flow rate calculated above represents the most realistic leakage level of the compressed air branch at the current moment, reflecting the real-time leakage intensity caused by factors such as aging and damage.

[0053] Step S600: Calculate the duration of the production status. After calculating the average gas leakage flow rate, the duration of the production state is continuously recorded. Based on the duration, the total leakage volume of the compressed air branch during the production state can be calculated.

[0054] Step S700: Estimate the total leakage volume of the compressed air branch during the production state based on the product of the average leakage flow rate and the production state duration.

[0055] It is understandable that gas will still leak during production. The leakage rate during this period is equal to the previously calculated average leakage flow rate. Therefore, the average leakage flow rate can be directly used to calculate the total leakage volume of the compressed air branch during production.

[0056] The formula for calculating the total leakage volume of the compressed air branch during production is as follows: ; In the formula, V m The total leakage volume is t1, and the production time is t1. This represents the average flow rate of the gas leak.

[0057] This embodiment of the compressed air monitoring method, by installing gas flow meters in the compressed air branch and continuously collecting flow data and status information of terminal devices such as workstations, robots, and cylinders in the PLC, allows the system to automatically determine whether it is currently in production. It can detect gas leaks in the corresponding pipelines of each gas-consuming device when it is not in production, and it can also detect gas leaks in each gas-consuming device when it is in production, calculating the corresponding gas leak volume. The average leakage flow rate collected during non-production is used as the basis for calculating the total leakage during production. This method eliminates the problems of traditional manual inspections (such as the soap water method and listening method) which are heavily reliant on manpower, inefficient, and prone to omissions; it overcomes the limitations of ultrasonic detectors, which require periodic inspections and cannot provide continuous monitoring; and it achieves 24 / 7 uninterrupted monitoring, automatically identifying leak events even at night or during non-production periods such as holidays, improving safety and achieving effective and accurate monitoring.

[0058] Figure 4 A schematic diagram of a compressed air monitoring system according to an embodiment of this application is shown. Exemplarily, the compressed air monitoring system includes: a data acquisition gateway 200, a gas flow meter 130, and a central processing unit 300. The data acquisition gateway may be located on the main compressed air line 100 or in another location.

[0059] The gas flow meter 130 is installed on each compressed air branch.

[0060] There are multiple gas flow meters 130, each used to acquire gas flow data for a different compressed air branch.

[0061] The data acquisition gateway 200 is used to acquire the flow data of the gas flow meter 130 on each compressed air branch in real time, and to collect the operating status information of each gas-using device.

[0062] The central processing unit 300 is used to determine whether the gas-consuming equipment is currently in a non-production state based on the operating status information of the gas-consuming equipment. The central processing unit 300 yuan is also used to determine that there is a gas leak in the corresponding compressed air branch when the gas-using equipment is in a non-production state and the flow rate change of the gas flow meter is continuously detected to exceed a preset time threshold, and to calculate the leak volume based on the flow rate data within the time threshold.

[0063] The central processing unit 300 is also equipped with a visualization interface, which is used to visualize the flow data and display the real-time flow rate, gas consumption, leakage, and time trend of each pipeline.

[0064] The aforementioned flow data and the calculated leakage volume data can be visualized, thus obtaining real-time flow velocity, gas consumption, leakage volume, and time-period trend charts for each pipeline. This can be displayed graphically, thereby improving intuitiveness.

[0065] Among them, such as Figure 5 The diagram shown illustrates the trend of total pipeline leakage volume and duration. This chart, generated by the central processing unit 300 after visualizing the acquired flow and leakage data, is displayed on a visualization interface to allow managers to intuitively see the changes and trends in total pipeline leakage volume. Other related charts can also be visualized, but will not be listed here.

[0066] It is understood that the device in this embodiment corresponds to the compressed air monitoring method in the above embodiment, and the options in the above embodiment are also applicable to this embodiment, so they will not be described again here.

[0067] This application also provides a terminal device, exemplary of which includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the computer program to enable the terminal device to perform the functions of the various modules in the above-described compressed air monitoring method or compressed air monitoring device.

[0068] The processor can be an integrated circuit chip with signal processing capabilities. The processor can be a general-purpose processor, including at least one of a Central Processing Unit (CPU), Graphics Processing Unit (GPU), Network Processor (NP), Digital Signal Processor (DSP), Application-Specific Integrated Circuit (ASIC), Field-Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. The general-purpose processor can be a microprocessor or any conventional processor, capable of implementing or executing the methods, steps, and logic block diagrams disclosed in the embodiments of this application.

[0069] The memory can be, but is not limited to, Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory is used to store computer programs, and the processor can execute the computer programs accordingly after receiving execution instructions.

[0070] This application also provides a readable storage medium for storing the computer program used in the aforementioned terminal device.

[0071] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can also be implemented in other ways. The apparatus embodiments described above are merely illustrative. For example, the flowcharts and block diagrams in the accompanying drawings show the architecture, functionality, and operation of possible implementations of apparatus, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that, in alternative implementations, the functions marked in the blocks may occur in a different order than those marked in the drawings. For example, two consecutive blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and combinations of blocks in the block diagram and / or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or action, or using a combination of dedicated hardware and computer instructions.

[0072] In addition, the functional modules or units in the various embodiments of this application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0073] If the aforementioned functions are implemented as software functional modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion 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 smartphone, personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0074] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A compressed air monitoring method, characterized in that, The method comprises: real-time acquisition of flow data of the gas flow meter on each compressed air branch through a data acquisition gateway; acquisition of running state information of each gas-using equipment through the data acquisition gateway; determination of whether the gas-using equipment is currently in a non-production state based on the running state information of the gas-using equipment; when the gas-using equipment is in the non-production state, if the change of the flow of the gas flow meter is continuously detected to exceed a preset time threshold, it is determined that there is gas leakage in the corresponding compressed air branch, and the leakage volume is calculated based on the flow data within the time threshold.

2. The compressed air monitoring method of claim 1, wherein, Further comprising: periodic recording of the cumulative flow value of the gas flow meter when the gas-using equipment is in the non-production state, calculation of the leakage flow per unit time through the difference between the cumulative flows of adjacent time points, and accumulation of the total leakage volume of the compressed air branch during the non-production period.

3. The compressed air monitoring method of claim 2, wherein, The preset time threshold is 6 to 15 minutes.

4. The compressed air monitoring method of claim 1, wherein, After the gas-using equipment switches from the non-production state to the production state, further comprising: extracting the average leakage flow in the non-production state within a preset time period before entering the production state; counting the duration of the production state; estimating the total leakage volume of the compressed air branch during the production state according to the product of the average leakage flow and the duration of the production state.

5. The compressed air monitoring method of claim 4, wherein, The calculation expression of the total leakage volume of the compressed air branch during the production state is: ； In the formula, V m The total leakage volume is t1, and the production time is t1. This represents the average flow rate of the gas leak.

6. The compressed air monitoring method of claim 1, wherein, The gas flow meter is installed at the inlet of each independent work station or functional area corresponding compressed air branch to monitor the independent leakage of different areas.

7. A compressed air monitoring system, characterized in that The method comprises: a data acquisition gateway, a gas flow meter, and a central processing unit; the gas flow meter is arranged on each compressed air branch; the data acquisition gateway is used to acquire the flow data of the gas flow meter on each compressed air branch in real time, and to acquire the running state information of each gas-using equipment; the central processing unit is used to determine whether the gas-using equipment is currently in a non-production state based on the running state information of the gas-using equipment; the central processing unit is further used to, when the gas-using equipment is in the non-production state, if the change of the flow of the gas flow meter is continuously detected to exceed a preset time threshold, determine that there is gas leakage in the corresponding compressed air branch, and calculate the leakage volume based on the flow data within the time threshold.

8. The compressed air monitoring system of claim 7, wherein, The central processing unit is further configured with a visualization interface for displaying the real-time flow rate, gas consumption, leakage amount, and period trend chart of each pipeline after visualizing the flow data.

9. A terminal device, comprising: The terminal device comprises a processor and a memory, the memory stores a computer program, and the processor is used to execute the computer program to implement the compressed air monitoring method of any one of claims 1-6.

10. A readable storage medium, characterized by, The memory stores a computer program, and the computer program is executed on the processor to implement the compressed air monitoring method according to any one of claims 1-6.

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