Operation state detection method and equipment of air bag pump and medium

By setting up a pressure sensor in the wind bag pump, calculating the pressure change coefficient and analyzing the pressure change curve, the bubble formation problem caused by liquid pressure fluctuations in the wind bag pump is solved, real-time monitoring and abnormal positioning of the operating status of the wind bag pump are achieved, and the operating stability and life of the equipment are significantly improved.

CN119982475APending Publication Date: 2025-05-13QINGDAO BESLAN SEMICONDUCTOR TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202510184113.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-19
Publication Date
2025-05-13

AI Technical Summary

Technical Problem

During operation, due to the expansion and contraction of the wind bag, the liquid pressure may be reduced below the equilibrium steam pressure, forming bubbles and impacting the surface of the wind bag, affecting the performance and life of the equipment.

Method used

By setting pressure sensors at several detection points in the air bag pump, pressure data is collected, the pressure change coefficient is calculated, and the pressure change curve is generated. Combined with the correlation analysis of the critical pressure difference value and the pressure change coefficient, we judge whether there is an abnormality in the medium, determine the operating status of the air bag pump, and locate the length of the abnormal conveying section.

Benefits of technology

Effectively monitor the pressure dynamics of the wind bag pump, timely capture potential performance abnormalities, accurately judge whether there are abnormalities in the medium transport, prevent surface damage of the wind bag caused by bubble formation and rupture, and improve operating stability and service life.

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Abstract

The invention discloses a method and equipment for detecting the running state of an air bag pump and a medium, and relates to the technical field of equipment testing. Based on pressure sensors arranged at a plurality of detection points in the airbag pump, collecting pressure data corresponding to the detection points, and according to the pressure data, calculating a pressure change coefficient corresponding to each detection point in a preset monitoring time period; for each detection point, generating a corresponding pressure change curve according to the pressure change coefficient corresponding to the detection point; wherein the abscissa of the pressure change curve is the pressure ratio of the air bag pump in different preset monitoring time periods, and the ordinate of the pressure change curve is the pressure change coefficient; the critical pressure difference value of the airbag pump in the critical state is obtained, correlation analysis is conducted on the critical pressure difference value and the pressure change coefficient, and whether the media conveyed at the detection points are abnormal or not is determined according to the pressure change curve; if yes, it is determined that the air bag pump is in an abnormal operation state, and the length of the abnormal conveying section where the medium is located is determined according to the collection time of the pressure data corresponding to the detection point.
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Description

Technical Field

[0001] The invention relates to the technical field of equipment testing, and in particular to a method, equipment and medium for detecting the operating status of a bellows pump. Background Art

[0002] As a fluid conveying device, bellows pumps are widely used in industrial production. However, due to the periodic expansion and contraction of the bellows in the pump body, if the liquid pressure in the pump body drops below the equilibrium vapor pressure of the liquid, bubbles will form near the contact surface between the bellows and the pump body. When these bubbles burst in the high-pressure area, they will have a strong impact on the bellows surface, thus affecting the performance and life of the bellows pump. Summary of the invention

[0003] In order to solve the above problems, the present invention proposes a method for detecting the operating status of a bellows pump, comprising:

[0004] Based on the pressure sensors set at several detection points in the wind bag pump, the pressure data corresponding to the detection points are collected, and according to the pressure data, the pressure variation coefficient corresponding to each detection point in the preset monitoring period is calculated; wherein the pressure variation coefficient is used to indicate the pressure fluctuation degree of the wind bag pump;

[0005] For each detection point, a corresponding pressure change curve is generated according to the pressure change coefficient corresponding to the detection point; wherein the abscissa of the pressure change curve is the pressure ratio of the air bag pump in different preset monitoring periods, and the ordinate is the pressure change coefficient;

[0006] Obtaining a critical pressure difference of the bellows pump in a critical state, and performing correlation analysis on the critical pressure difference and the pressure variation coefficient, so as to determine whether there is an abnormality in the medium transported by the detection point according to the pressure variation curve;

[0007] If so, it is determined that the bellows pump is in an abnormal operating state, and the length of the abnormal conveying section where the medium is located is determined according to the collection time of the pressure data corresponding to the detection point.

[0008] In one implementation of the present invention, correlation analysis is performed on the critical pressure difference and the pressure variation coefficient to determine whether the medium transported by the detection point is abnormal according to the pressure variation curve, specifically including:

[0009] Determine the horizontal coordinate corresponding to the critical pressure difference in the pressure change curve, and generate a standard line corresponding to the critical pressure difference according to the horizontal coordinate;

[0010] Performing correlation analysis on the pressure change curve and the standard line, and determining a change amplitude of the pressure change coefficient when a curve range of the pressure change curve exceeds the horizontal coordinate of the standard line;

[0011] When the variation amplitude exceeds a preset value, it is determined that the medium transported by the detection point is abnormal.

[0012] In an implementation of the present invention, when the variation amplitude exceeds a preset value, before determining that the medium transported by the detection point is abnormal, the method further includes:

[0013] The type of medium transported in the bellows pump is determined, and according to the type of medium, a preset value corresponding to the variation amplitude is determined; wherein the preset value is positively correlated with the relative movement intensity of the medium type and the gas.

[0014] In an implementation of the present invention, determining the length of the abnormal conveying section where the medium is located according to the collection time of the pressure data corresponding to the detection point specifically includes:

[0015] From the pressure change curve, select the first abnormal point whose change amplitude exceeds a preset value and the extreme point with the largest corresponding pressure change coefficient;

[0016] respectively determining a first acquisition time and a second acquisition time corresponding to the abnormal point and the extreme value point, and a relative movement speed of the medium in the bellows pump;

[0017] The time difference between the second acquisition time and the first acquisition time is determined, and the length of the abnormal conveying section where the medium is located is determined according to the product of the time difference and the relative movement speed.

[0018] In one implementation of the present invention, the pressure variation coefficient corresponding to each detection point in a preset monitoring period is calculated according to the pressure data, specifically including:

[0019] Obtaining all pressure data collected within a preset monitoring period, and calculating a first mean value corresponding to all the pressure data;

[0020] For each pressure data among all the pressure data, determining a first difference between the pressure data and the first mean value, and calculating a square value corresponding to the first difference;

[0021] A second mean value between the square values ​​corresponding to all the pressure data is determined, and the second mean value is squared to obtain a pressure variation coefficient corresponding to each detection point.

[0022] In one implementation of the present invention, obtaining the critical pressure difference of the bellows pump in a critical state specifically includes:

[0023] Performing a critical test on the bellows pump to obtain the delivery flow of the bellows pump in a normal state and an abnormal state, and determining the maximum delivery flow of the bellows pump according to the delivery flow;

[0024] The pressure reduction degree corresponding to the air bag pump is calculated by the following formula:

[0025]

[0026] Wherein, Re represents the pressure reduction degree, which is used to represent the energy conversion capacity of the medium in the bellows pump when it is transported to the contraction point, ρ1 represents the density of the medium transported in the bellows pump, ρ2 represents the density of water, P1 represents the pressure value corresponding to the air inlet valve of the bellows pump, P0 represents the equilibrium vapor pressure corresponding to the medium transported in the bellows pump, Kv represents the flow coefficient, F max Indicates the maximum delivery flow rate;

[0027] According to the pressure reduction degree, a critical pressure difference of the bellows pump in a critical state is calculated.

[0028] In one implementation of the present invention, calculating the critical pressure difference of the bellows pump in a critical state according to the pressure reduction degree specifically includes:

[0029] Obtaining a preset critical pressure constant, and determining the product between the critical pressure constant and the equilibrium vapor pressure;

[0030] The second difference between the pressure value corresponding to the air inlet valve of the bellows pump and the product is calculated, and the product between the second difference and the square value corresponding to the pressure reduction degree is used as the critical pressure difference of the bellows pump in the critical state.

[0031] In an implementation of the present invention, before generating a corresponding pressure change curve according to the pressure change coefficient corresponding to the detection point, the method further includes:

[0032] Obtaining the pressure values ​​corresponding to the air inlet valve and the air outlet valve of the bellows pump, and determining the equilibrium vapor pressure corresponding to the medium transported in the bellows pump;

[0033] Calculating a third difference between the pressure value corresponding to the intake valve and the pressure value corresponding to the outlet valve, and a fourth difference between the pressure value corresponding to the intake valve and the equilibrium vapor pressure;

[0034] The ratio between the third difference and the fourth difference is used as the pressure ratio of the bellows pump.

[0035] An embodiment of the present invention provides a device for detecting the operating status of a bellows pump, the device comprising:

[0036] at least one processor;

[0037] and, a memory communicatively coupled to the at least one processor;

[0038] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to:

[0039] Based on the pressure sensors set at several detection points in the bellows pump, the pressure data corresponding to the detection points are collected, and the pressure change coefficient corresponding to each detection point in the preset monitoring period is calculated according to the pressure data;

[0040] For each detection point, a corresponding pressure change curve is generated according to the pressure change coefficient corresponding to the detection point; wherein the abscissa of the pressure change curve is the pressure ratio of the air bag pump in different preset monitoring periods, and the ordinate is the pressure change coefficient;

[0041] Obtaining a critical pressure difference of the bellows pump in a critical state, and performing correlation analysis on the critical pressure difference and the pressure variation coefficient, so as to determine whether there is an abnormality in the medium transported by the detection point according to the pressure variation curve;

[0042] If so, it is determined that the bellows pump is in an abnormal operating state, and the length of the abnormal conveying section where the medium is located is determined according to the collection time of the pressure data corresponding to the detection point.

[0043] An embodiment of the present invention provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:

[0044] Based on the pressure sensors set at several detection points in the bellows pump, the pressure data corresponding to the detection points are collected, and the pressure change coefficient corresponding to each detection point in the preset monitoring period is calculated according to the pressure data;

[0045] For each detection point, a corresponding pressure change curve is generated according to the pressure change coefficient corresponding to the detection point; wherein the abscissa of the pressure change curve is the pressure ratio of the air bag pump in different preset monitoring periods, and the ordinate is the pressure change coefficient;

[0046] Obtaining a critical pressure difference of the bellows pump in a critical state, and performing correlation analysis on the critical pressure difference and the pressure variation coefficient, so as to determine whether there is an abnormality in the medium transported by the detection point according to the pressure variation curve;

[0047] If so, it is determined that the bellows pump is in an abnormal operating state, and the length of the abnormal conveying section where the medium is located is determined according to the collection time of the pressure data corresponding to the detection point.

[0048] The method for detecting the operating status of a bellows pump proposed by the present invention can bring the following beneficial effects:

[0049] Collecting pressure data from each detection point, calculating the pressure variation coefficient and drawing the pressure variation curve can effectively monitor the pressure dynamics of the bellows pump at different working stages and timely capture potential performance anomalies. Correlation analysis of the critical pressure difference and the pressure variation coefficient can accurately determine whether there are abnormalities in the medium transportation and prevent damage to the bellows surface caused by bubble formation and rupture, thereby significantly improving the operating stability and service life of the bellows pump. In addition, based on the collection time of abnormal data, the length of the abnormal transportation section can be quickly located, providing a scientific basis for subsequent troubleshooting and maintenance, reducing production interruption time, and ensuring the continuity and efficiency of industrial production. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0051] Figure 1 A schematic flow chart of a method for detecting the operating status of a bellows pump provided in an embodiment of the present invention;

[0052] Figure 2 A schematic structural diagram of an operating status detection device for a bellows pump provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0053] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the specific embodiments of the present invention and the corresponding drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0054] The technical solutions provided by various embodiments of the present invention are described in detail below in conjunction with the accompanying drawings.

[0055] like Figure 1 As shown, an embodiment of the present invention provides a method for detecting the operating status of a bellows pump, comprising:

[0056] S101: Based on the pressure sensors set at several detection points in the wind bag pump, the pressure data corresponding to the detection points are collected, and the pressure change coefficient corresponding to each detection point in the preset monitoring period is calculated according to the pressure data; wherein the pressure change coefficient is used to indicate the pressure fluctuation degree of the wind bag pump.

[0057] During the operation of the bellows pump, the periodic expansion and contraction of the bellows will produce a strong impact on the surface of the bellows pump, which may eventually affect the safe operation of the bellows pump. Therefore, in order to ensure the operational stability of the bellows pump, it is very necessary to monitor and analyze the pressure state inside the pump body in real time. There are several detection points on the bellows pump. These detection points can be evenly arranged at fixed intervals, or the corresponding arrangement density can be set according to the possibility of impact. The density of detection points is relatively large in locations that are susceptible to impact. By setting more dense detection points, the operational safety of the bellows pump can be improved. Each detection point is equipped with a corresponding pressure sensor. During the operation of the bellows pump, the pressure sensor can capture the air pressure fluctuations inside the pump body in real time, and then calculate the pressure change coefficient of each detection point based on the air pressure fluctuation state.

[0058] The pressure variation coefficient is used to characterize the degree of pressure fluctuation over a period of time. When calculating the pressure variation coefficient, it is first necessary to clearly define the preset monitoring period that reflects the degree of fluctuation. Generally, the predicted monitoring period is set to 1s. When collecting pressure data, it is necessary to follow a certain collection frequency, for example, 20 times per second. Then, based on the 20 times of data collected within 1s, the corresponding pressure variation coefficient can be calculated.

[0059] Specifically, for each detection point, all pressure data collected at the detection point within the preset monitoring period are obtained, and the first mean corresponding to all pressure data is calculated. For each pressure data in all pressure data, the first difference between the pressure data and the first mean is determined, and the square value corresponding to the first difference is calculated. The first difference reflects the fluctuation level of the pressure data of each detection point compared with the average pressure value. After calculating the square value of the above first difference, the second mean between the square values ​​corresponding to all pressure data is calculated. Specifically, it can be obtained by calculating the sum of the first differences corresponding to each pressure data and the ratio between the number of pressure data. The second mean is squared, and the value obtained after the square root is the pressure variation coefficient corresponding to each detection point.

[0060] S102: For each detection point, generate a corresponding pressure change curve according to the pressure change coefficient corresponding to the detection point; wherein the abscissa of the pressure change curve is the pressure ratio of the air bag pump in different preset monitoring periods, and the ordinate is the pressure change coefficient.

[0061] For each detection point, the pressure detection is carried out continuously. Therefore, according to the continuously collected pressure data and the calculated pressure change coefficient, a pressure change curve can be generated accordingly. The pressure change curve can represent the pressure state change inside each detection point of the wind bag pump. According to the pressure change curve, it can provide corresponding data support for judging whether the wind bag pump is in an abnormal operating state. It should be noted that the horizontal axis of the pressure change curve is not time, but the pressure ratio of the wind bag pump in different preset monitoring periods at the corresponding collection time point, and the vertical axis is the pressure change coefficient. The pressure ratio is used to reflect the pressure fluctuation range of the wind bag pump under specific working conditions, and the pressure change coefficient reflects the degree of pressure change. Through the pressure change curve, the pressure change trend of the wind bag pump under different pressure conditions can be intuitively understood, so as to judge whether the wind bag pump is in a stable operating state. For example, to collect pressure data in the period of 20:50-20:51, 20 data needs to be collected per second, and then the final pressure change curve is the pressure change coefficient and pressure ratio corresponding to each second in these 60 seconds.

[0062] Among them, the pressure ratio can be measured and obtained by the pressure sensors installed on the air inlet valve and the air outlet valve. The pressure sensors installed on the air inlet and outlet have different collection frequencies from each detection point, and their collection frequencies need to correspond to the preset monitoring period. After collecting the pressure values ​​corresponding to the air inlet valve and the air outlet valve respectively, determine the equilibrium vapor pressure corresponding to the medium transported in the bellows pump. The equilibrium vapor pressure refers to the pressure at a certain temperature when the liquid medium transported in the bellows pump is in equilibrium with the gas. Calculate the third difference between the pressure value corresponding to the air inlet valve and the pressure value corresponding to the air outlet valve, and the fourth difference between the pressure value corresponding to the air inlet valve and the equilibrium vapor pressure. The ratio between the third difference and the fourth difference is used as the pressure ratio of the bellows pump.

[0063] S103: Obtain a critical pressure difference of the bellows pump in a critical state, and perform correlation analysis on the critical pressure difference and the pressure variation coefficient to determine whether there is an abnormality in the medium transported by the detection point according to the pressure variation curve.

[0064] The liquid medium transported by the bellows pump may be in this abnormal state. When the pressure of the air inlet valve is kept constant, the bubbles generated inside the bellows occupy a relatively large circulation space, and the medium flow rate no longer increases, which will cause the medium transportation to be blocked abnormally. Therefore, for the above abnormal state, it is necessary to obtain the critical pressure difference of the bellows pump in the critical state, that is, the critical pressure difference at the moment when the bellows pump is about to change from the normal transportation state to the blocked state. According to the critical pressure difference, a state definition standard is provided for whether the bellows pump is in an abnormal state. It can be understood that when the pressure ratio of the bellows pump exceeds the critical pressure difference, it means that the medium inside the bellows pump may be blocked. At this time, it is also necessary to combine the pressure change curve of the bellows pump to clarify whether there is a sudden pressure change inside the bellows pump, and then finally determine whether the abnormality of the transported medium has occurred.

[0065] In one embodiment, the critical pressure difference can be obtained by the following steps: first, a critical test is performed on the bellows pump to obtain the delivery flow of the bellows pump in normal and abnormal conditions, and based on the delivery flow, the maximum delivery flow of the bellows pump is determined.

[0066] Secondly, when the bellows pump is in operation, if the internal structural components have a sufficiently high pressure recovery capability, then the easily blocked positions inside the bellows will recover to a higher level more quickly to avoid blockage. Therefore, by evaluating the pressure restoration degree that reflects the pressure recovery capability, the anti-blockage capability of the internal structure of the bellows can be reflected. At the same time, with the help of the pressure restoration degree, the critical state of the bellows pump can also be evaluated to obtain the critical pressure difference.

[0067] The pressure reduction degree corresponding to the air bag pump is calculated by the following formula:

[0068]

[0069] Among them, Re represents the pressure reduction degree, which is used to indicate the energy conversion capacity of the medium in the bellows pump when it is transported to the contraction point, ρ1 represents the density of the medium transported in the bellows pump, ρ2 represents the density of water, P1 represents the pressure value corresponding to the air inlet valve of the bellows pump, P0 represents the equilibrium vapor pressure corresponding to the medium transported in the bellows pump, Kv represents the flow coefficient, F max Indicates the maximum delivery flow rate.

[0070] After obtaining the pressure reduction degree, it is necessary to calculate the critical pressure difference of the bellows pump in the critical state according to the pressure reduction degree. Specifically, obtain the preset critical pressure constant, which is used to describe the pressure ratio of the medium when it reaches the speed of sound flow, and takes different fixed values ​​according to the type of medium. After obtaining the critical pressure constant, calculate the product between the critical pressure constant and the equilibrium vapor pressure. Then, calculate the second difference between the pressure value corresponding to the air inlet valve of the bellows pump and the above product, and use the product between the second difference and the corresponding square value of the pressure reduction degree as the critical pressure difference of the bellows pump in the critical state.

[0071] After determining the critical pressure difference, it is necessary to conduct a correlation analysis between the critical pressure difference and the pressure variation coefficient to determine whether there is any abnormality in the medium transportation.

[0072] Specifically, the horizontal coordinate of the pressure change curve is the pressure ratio of the bellows pump. The critical pressure difference is matched with the corresponding horizontal coordinate in the pressure change curve. In this way, the standard line corresponding to the critical pressure difference can be generated according to the horizontal coordinate. The standard line is a vertical line. Correlating the pressure change curve with the standard line is essentially comparing the size relationship of the horizontal coordinates. Since the pressure change curve is a curve that fluctuates over time, as the medium transported by the bellows pump increases, the internal pressure difference will also increase. Then, when the curve range (horizontal coordinate range) of the pressure change curve exceeds the horizontal coordinate where the standard line is located, it indicates that the current bellows pump has experienced medium blockage. In order to further clarify whether blockage has occurred, it is necessary to determine the change amplitude of the pressure change coefficient (vertical coordinate change value). If the change amplitude exceeds the preset value, it means that the medium fluctuates more after entering the blockage position. At this time, it can be determined that the medium transported by the detection point is abnormal.

[0073] It should be noted that the bellows pump can be used to transport different types of liquid media, and different types of media produce different degrees of fluctuation. Therefore, when judging whether the medium has entered the blockage position, it is necessary to set the corresponding preset value according to the actual usage scenario to improve the detection accuracy. The preset value is positively correlated with the relative movement intensity of the medium type and the gas. Generally, for high-temperature and high-pressure fluids, or fluids containing a large amount of dissolved gas, the air pressure fluctuation may also be greater, so the corresponding preset value should also be higher. The specific value can be set according to empirical data.

[0074] S104: If yes, determine that the bellows pump is in an abnormal operating state, and determine the length of the abnormal conveying section where the medium is located according to the collection time of the pressure data corresponding to the detection point.

[0075] When an abnormality occurs in the bellows pump, the air pressure is the equilibrium vapor pressure, and then the pressure will be higher than the equilibrium vapor pressure until the bubbles return to liquid state, and the air pressure finally returns to equilibrium. Therefore, when the pressure difference reaches the maximum, the internal pressure of the bellows pump will not change. Therefore, according to the time point when the pressure changes, the length of the abnormal conveying section corresponding to the abnormal medium can be further determined.

[0076] Specifically, the first abnormal point whose change amplitude exceeds the preset value and the extreme point with the largest corresponding pressure change coefficient are screened out from the pressure change curve. The first acquisition time and the second acquisition time corresponding to the abnormal point and the extreme point, as well as the relative movement speed of the medium in the bellows pump are determined respectively. The time difference between the second acquisition time and the first acquisition time is determined, and the length of the abnormal conveying section where the medium is located can be determined based on the product between the time difference and the relative movement speed.

[0077] The above are embodiments of the method proposed by the present invention. Based on the same idea, some embodiments of the present invention also provide devices and non-volatile computer storage media corresponding to the above methods.

[0078] Figure 2 The present invention provides a schematic diagram of the structure of a bellows pump operating status detection device. Figure 2 As shown, including:

[0079] at least one processor; and,

[0080] at least one processor is communicatively connected to a memory; wherein,

[0081] The memory stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor so that the at least one processor can execute the method for detecting the operating status of a bellows pump as described in any one of the above items.

[0082] An embodiment of the present invention provides a non-volatile computer storage medium storing computer executable instructions, wherein the computer executable instructions are configured as follows:

[0083] A method for detecting the operating status of a bellows pump as described in any one of the above items.

[0084] The various embodiments of the present invention are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and medium embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiments.

[0085] The devices and media provided in the embodiments of the present invention correspond one-to-one to the methods, and therefore, the devices and media also have similar beneficial technical effects as the corresponding methods. Since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the devices and media will not be repeated here.

[0086] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0087] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0088] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0089] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0090] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0091] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0092] Computer readable media include permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. Information can be computer readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disk read-only memory (CD-ROM), digital versatile disk (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer readable media does not include temporary computer readable media (transitory media), such as modulated data signals and carrier waves.

[0093] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0094] The above description is only an embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent substitution, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.

Claims

1. A method for detecting the operating status of a bellows pump, characterized in that: The method comprises: Based on the pressure sensors set at several detection points in the wind bag pump, the pressure data corresponding to the detection points are collected, and according to the pressure data, the pressure variation coefficient corresponding to each detection point in the preset monitoring period is calculated; wherein the pressure variation coefficient is used to indicate the pressure fluctuation degree of the wind bag pump; For each detection point, a corresponding pressure change curve is generated according to the pressure change coefficient corresponding to the detection point; wherein the abscissa of the pressure change curve is the pressure ratio of the air bag pump in different preset monitoring periods, and the ordinate is the pressure change coefficient; Obtaining a critical pressure difference of the bellows pump in a critical state, and performing correlation analysis on the critical pressure difference and the pressure variation coefficient, so as to determine whether there is an abnormality in the medium transported by the detection point according to the pressure variation curve; If so, it is determined that the bellows pump is in an abnormal operating state, and the length of the abnormal conveying section where the medium is located is determined according to the collection time of the pressure data corresponding to the detection point.

2. A method for detecting the operating status of a bellows pump according to claim 1, characterized in that: The critical pressure difference and the pressure variation coefficient are correlated and analyzed to determine whether the medium transported by the detection point is abnormal according to the pressure variation curve, specifically including: Determine the horizontal coordinate corresponding to the critical pressure difference in the pressure change curve, and generate a standard line corresponding to the critical pressure difference according to the horizontal coordinate; Performing correlation analysis on the pressure change curve and the standard line, and determining a change amplitude of the pressure change coefficient when a curve range of the pressure change curve exceeds the horizontal coordinate of the standard line; When the variation amplitude exceeds a preset value, it is determined that the medium transported by the detection point is abnormal.

3. A method for detecting the operating status of a bellows pump according to claim 2, characterized in that: When the variation amplitude exceeds the preset value, before determining that the medium transported by the detection point is abnormal, the method further includes: The type of medium transported in the bellows pump is determined, and according to the type of medium, a preset value corresponding to the variation amplitude is determined; wherein the preset value is positively correlated with the relative movement intensity of the medium type and the gas.

4. A method for detecting the operating status of a bellows pump according to claim 2, characterized in that: Determining the length of the abnormal conveying section where the medium is located according to the collection time of the pressure data corresponding to the detection point specifically includes: From the pressure change curve, select the first abnormal point whose change amplitude exceeds a preset value and the extreme point with the largest corresponding pressure change coefficient; respectively determining a first acquisition time and a second acquisition time corresponding to the abnormal point and the extreme value point, and a relative movement speed of the medium in the bellows pump; The time difference between the second acquisition time and the first acquisition time is determined, and the length of the abnormal conveying section where the medium is located is determined according to the product of the time difference and the relative movement speed.

5. The method for detecting the operating status of a bellows pump according to claim 1, characterized in that: According to the pressure data, the pressure variation coefficient corresponding to each detection point in the preset monitoring period is calculated, specifically including: Obtaining all pressure data collected within a preset monitoring period, and calculating a first mean value corresponding to all the pressure data; For each pressure data among all the pressure data, determining a first difference between the pressure data and the first mean value, and calculating a square value corresponding to the first difference; A second mean value between the square values ​​corresponding to all the pressure data is determined, and the second mean value is squared to obtain a pressure variation coefficient corresponding to each detection point.

6. A method for detecting the operating status of a bellows pump according to claim 5, characterized in that: Obtaining the critical pressure difference of the bellows pump in a critical state specifically includes: Performing a critical test on the bellows pump to obtain the delivery flow of the bellows pump in a normal state and an abnormal state, and determining the maximum delivery flow of the bellows pump according to the delivery flow; The pressure reduction degree corresponding to the air bag pump is calculated by the following formula: Wherein, Re represents the pressure reduction degree, which is used to represent the energy conversion capacity of the medium in the bellows pump when it is transported to the contraction point, ρ1 represents the density of the medium transported in the bellows pump, ρ2 represents the density of water, P1 represents the pressure value corresponding to the air inlet valve of the bellows pump, P0 represents the equilibrium vapor pressure corresponding to the medium transported in the bellows pump, Kv represents the flow coefficient, F max Indicates the maximum delivery flow rate; According to the pressure reduction degree, a critical pressure difference of the bellows pump in a critical state is calculated.

7. A method for detecting the operating status of a bellows pump according to claim 6, characterized in that: According to the pressure reduction degree, calculating the critical pressure difference of the bellows pump in a critical state specifically includes: Obtaining a preset critical pressure constant, and determining the product between the critical pressure constant and the equilibrium vapor pressure; The second difference between the pressure value corresponding to the air inlet valve of the bellows pump and the product is calculated, and the product between the second difference and the square value corresponding to the pressure reduction degree is used as the critical pressure difference of the bellows pump in the critical state.

8. The method for detecting the operating status of a bellows pump according to claim 1, characterized in that: Before generating a corresponding pressure change curve according to the pressure change coefficient corresponding to the detection point, the method further includes: Obtaining the pressure values ​​corresponding to the air inlet valve and the air outlet valve of the bellows pump, and determining the equilibrium vapor pressure corresponding to the medium transported in the bellows pump; Calculating a third difference between the pressure value corresponding to the intake valve and the pressure value corresponding to the outlet valve, and a fourth difference between the pressure value corresponding to the intake valve and the equilibrium vapor pressure; The ratio between the third difference and the fourth difference is used as the pressure ratio of the bellows pump.

9. A device for detecting the operating status of a bellows pump, characterized in that: The device comprises: at least one processor; and, a memory communicatively coupled to the at least one processor; The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the method for detecting the operating status of a bellows pump as described in any one of claims 1-8.

10. A non-volatile computer storage medium storing computer executable instructions, characterized in that: The computer executable instructions are configured to: A method for detecting the operating status of a bellows pump as described in any one of claims 1 to 8.