Method for detecting a line, controller, line and line system
By detecting the bubble concentration and calculating the bubble loss in the pipeline, the problem of detecting pipeline cavitation was solved, enabling accurate assessment and prevention of cavitation.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GREE ELECTRIC APPLIANCE INC OF ZHUHAI
- Filing Date
- 2023-08-22
- Publication Date
- 2026-05-29
AI Technical Summary
Existing technologies are insufficient to effectively detect cavitation in pipelines, especially when fluid flow velocities are high, as pipeline damage caused by bubble bursts is difficult to prevent.
By obtaining the bubble concentration at each preset location in the pipeline, calculating the bubble loss between adjacent preset locations, determining the cavitation detection result based on the bubble loss, and using the bubble loss to reflect the degree of cavitation in the pipeline.
It enables accurate detection of pipeline cavitation, allowing for timely identification of the location and extent of cavitation, thus facilitating effective repair or replacement and preventing fluid leakage.
Smart Images
Figure CN117110542B_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of fault detection, and more specifically, to a pipeline detection method, controller, pipeline, and pipeline system. Background Technology
[0002] Pipelines are devices that supply fluid flow and are used in many fields, playing a vital role. During the process of transporting fluids using pipelines, pipeline inspection is extremely important. Inspection facilitates the early detection of pipeline defects, preventing accidents such as fluid leaks.
[0003] Current pipeline inspection technologies typically test for pressure, corrosion, and rust. However, these methods are less effective for high-velocity fluids, especially those containing water or other liquids prone to bubble formation. Even with the formation and collapse of numerous bubbles, cavitation can still cause pipeline damage. Summary of the Invention
[0004] This application provides a pipeline inspection method, controller, pipeline, and pipeline system to at least solve the technical problem of detecting cavitation phenomena in pipelines.
[0005] According to a first aspect of the embodiments of this application, a pipeline inspection method is provided, comprising:
[0006] Obtain the bubble concentration at each preset location in the pipeline;
[0007] The amount of bubble loss between adjacent preset positions is determined based on the bubble concentration of each bubble.
[0008] The cavitation detection result is determined based on the amount of bubble loss.
[0009] Optionally, determining the bubble loss between adjacent preset positions based on the respective bubble concentrations includes:
[0010] Along the fluid flow direction in the pipeline, the upstream preset position among the adjacent preset positions is taken as the subtrahend, and the downstream preset position is taken as the minuend. The difference between the two bubble concentrations corresponding to the adjacent preset positions is obtained to obtain the bubble loss between the adjacent preset positions.
[0011] Optionally, each of the adjacent preset positions is a detection interval;
[0012] The step of determining the cavitation detection result based on the bubble loss includes:
[0013] The cavitation detection results for each detection interval are determined based on the bubble loss corresponding to each detection interval, or
[0014] The interval detection result of each detection interval is determined based on the bubble loss corresponding to each detection interval, and the cavitation detection result is determined based on all the interval detection results.
[0015] Optionally, determining the cavitation detection result of each detection interval based on the bubble loss corresponding to each detection interval includes:
[0016] Detection interval m x Bubble loss Q determined at different detection times n Summing yields the detection interval m. x The sum of concentration differences R x Where x is a positive integer, m x Q represents the x-th detection interval. n Represents the detection interval m x The bubble loss amount obtained in the nth detection, where n is a positive integer, R x =Q1 + Q2 + Q3 + ... + Q n R x This represents the sum of concentration differences from n detections in the x-th detection interval;
[0017] When the detection interval m x The sum of concentration differences R x Located in the threshold interval P k When, the threshold interval P k The corresponding detection result is determined as the detection interval m. x The cavitation detection results, P k It is among multiple threshold intervals and R x The corresponding threshold range, where k is a positive integer.
[0018] Optionally, the threshold interval includes a first threshold interval, a second threshold interval, and a third threshold interval;
[0019] The detection intervals where the sum of the concentration differences falls within the first threshold interval, the second threshold interval, and the third threshold interval correspond to cavitation detection results of normal, abnormal, and severe, respectively.
[0020] Optionally, determining the cavitation detection result of each detection interval based on the bubble loss corresponding to each detection interval includes:
[0021] Compare the bubble loss corresponding to each detection interval with a preset quantity threshold;
[0022] The sum of the bubble loss amounts exceeding the quantity threshold corresponding to different detection times in each detection interval is used to obtain the total concentration difference of each detection interval.
[0023] The cavitation detection results for each detection interval are determined based on the sum of the concentration differences between each detection interval.
[0024] Optionally, obtaining the bubble concentration at each preset location in the pipeline includes:
[0025] The bubble concentration at each preset location in the pipeline is obtained when the pipeline is filled with water.
[0026] Optionally, determining the bubble loss between adjacent preset positions based on the respective bubble concentrations includes:
[0027] The difference between the two bubble concentrations corresponding to the adjacent preset positions is used to obtain the first bubble loss between the adjacent preset positions.
[0028] Determine whether there are bubbles with a volume exceeding a preset volume threshold between the adjacent preset positions;
[0029] If there are bubbles exceeding the volume threshold, retrieve the corresponding amplification coefficient from the preset table based on the number of bubbles exceeding the volume threshold.
[0030] The amplification factor is multiplied by the first bubble loss between the adjacent preset positions to obtain the bubble loss between the adjacent preset positions, and the amplification factor is greater than 1.
[0031] According to a second aspect of the embodiments of this application, a controller is provided that employs the pipeline detection method described in the first aspect when detecting pipelines.
[0032] According to a third aspect of the embodiments of this application, a pipeline is provided, wherein a plurality of bubble concentration detection devices are arranged inside the pipeline along the pipeline axis for detecting bubble concentration at a preset position.
[0033] According to a fourth aspect of the embodiments of this application, a piping system is provided, including the controller described in the second aspect and the piping described in the third aspect.
[0034] In this embodiment, cavitation occurs when air bubbles in the pipeline burst. The bubble concentration at each preset location is obtained, and the bubble loss between adjacent preset locations is calculated. The number of bursting bubbles between adjacent preset locations can be determined from the bubble loss, thus determining the cavitation detection result. This ensures that the cavitation detection result accurately reflects the degree of cavitation in the pipeline, thereby completing the detection of pipeline cavitation phenomena. Attached Figure Description
[0035] Figure 1 This is a flowchart of the pipeline inspection method in the embodiment.
[0036] Figure 2 This is a schematic diagram of the pipeline structure in the embodiment.
[0037] Figure 3 This is a flowchart of the pipeline inspection method in the embodiment regarding the inspection cycle.
[0038] Figure 4 This is an overall flowchart of the pipeline inspection method in the embodiment. Detailed Implementation
[0039] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.
[0040] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.
[0041] According to an embodiment of this application, an embodiment of a pipeline inspection method is provided. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.
[0042] like Figure 1 As shown, the method includes the following steps:
[0043] S101, obtain the bubble concentration at each preset position in the pipeline.
[0044] In one embodiment, a pipeline refers to a device for transporting fluid, with the fluid medium flowing inside the pipeline along its extension direction. It should be noted that the pipeline can be a completely closed pipeline or a semi-closed pipe with grooves on its upper surface in which the fluid flows. This embodiment does not limit the specific structure, shape, or material of the pipeline.
[0045] The fluid can be a liquid such as water, gasoline, or detergent. This embodiment does not specifically limit the type of fluid.
[0046] Because the fluid is liquid, bubbles are easily generated when it flows in the pipe, and the bubbles will flow with the fluid in the pipe.
[0047] In one embodiment, the bubble concentration at a preset location is obtained by collecting data using a sensor or identification device installed on the outside of the pipeline; in another embodiment, such as... Figure 2 As shown, the management system is equipped with several devices to detect bubbles in the fluid passing through the devices and obtain the corresponding bubble concentration.
[0048] This embodiment does not specify the instrument used to detect or collect bubble concentration.
[0049] S102, determine the amount of bubble loss between adjacent preset positions based on the bubble concentration of each bubble.
[0050] As shown in Question 2, each device corresponds to a preset position. In one embodiment, there are multiple preset positions, such as 10 or 100. All preset positions are set sequentially along the pipeline direction, and the multiple preset positions divide the pipeline into multiple sections. Figure 2 The interval (in the middle) means that the interval between adjacent preset positions is a segment. For ease of understanding, the segment is named the detection interval. Figure 2 (the interval in the middle).
[0051] In one embodiment, bubble loss refers to the number of bubbles that burst. As the fluid flows, bubbles may burst due to contact with the pipe, other bubbles, or pressure. When bubbles burst, they impact the pipe wall, causing cavitation. Over time, this corrosion can lead to pipe damage.
[0052] Once the bubble density at each preset location is obtained, the bubble loss between adjacent preset locations can be calculated.
[0053] S103, determine the cavitation detection result based on the amount of bubble loss.
[0054] In one embodiment, the greater the bubble loss, the more severe the cavitation erosion of the pipeline may be. Therefore, the cavitation detection result is determined based on the bubble loss.
[0055] Through the above steps, the bursting of air bubbles in the pipeline causes cavitation. By obtaining the bubble concentration at each preset location, the bubble loss between adjacent preset locations is calculated. The number of bursting bubbles between adjacent preset locations can be determined from the bubble loss, thus determining the cavitation detection result. This ensures that the cavitation detection result accurately reflects the degree of cavitation in the pipeline, thereby completing the detection of pipeline cavitation phenomena.
[0056] In another embodiment of this application, determining the bubble loss between adjacent preset positions based on the respective bubble concentrations includes:
[0057] The difference between the two bubble concentrations corresponding to the adjacent preset positions is used to obtain the bubble loss between the adjacent preset positions.
[0058] The bubble loss between adjacent preset positions is calculated by subtraction. The calculation is simple, which helps to save computing resources, improve computing efficiency, and increase the accuracy of bubble loss.
[0059] In another embodiment of this application, the step of subtracting the concentration of the two bubbles corresponding to the adjacent preset positions includes:
[0060] Along the fluid flow direction in the pipeline, the upstream preset position among the adjacent preset positions is taken as the subtrahend, and the downstream preset position is taken as the minuend.
[0061] like Figure 2 As shown, the fluid (water) in the pipeline has a flow direction. Figure 2 The flow direction is from left to right. Therefore, for any two adjacent preset positions, the one on the left is upstream, and the one on the right is downstream. The bubble concentration at the upstream preset position is subtracted from the bubble concentration at the downstream preset position to obtain a positive bubble loss value.
[0062] In other embodiments, the relationship between the subtrahend and minuend of the bubble concentration corresponding to two adjacent preset positions may not be limited. Instead, the absolute value can be taken after the difference to obtain a positive bubble loss.
[0063] By following the steps described above and defining the subtrahend and minuend, we can reduce the number of calculation steps and save computational resources.
[0064] In another embodiment of this application, each of the adjacent preset positions is a detection interval.
[0065] The step of determining the cavitation detection result based on the bubble loss includes:
[0066] The cavitation detection results for each detection interval are determined based on the bubble loss corresponding to each detection interval, or
[0067] The interval detection result of each detection interval is determined based on the bubble loss corresponding to each detection interval, and the cavitation detection result is determined based on all the interval detection results.
[0068] In one embodiment, the cavitation detection result refers to the detection result corresponding to each detection interval. In another embodiment, the sum of the detection results corresponding to all detection intervals is the cavitation detection result. It should be noted that when the pipeline length is fixed, the more detection intervals there are, the higher the detection accuracy and the easier it is to determine the location of cavitation or damage in the pipeline. Conversely, the fewer the detection intervals, the lower the detection accuracy and the lower the detection cost. If each detection interval is 10 meters, then after determining that cavitation exists in a certain detection interval, at least 10 meters of pipeline need to be replaced to ensure the integrity of the entire pipeline and prevent fluid leakage.
[0069] Therefore, when the cavitation detection results correspond to each detection interval, it is easy to determine the degree of cavitation in the pipeline corresponding to each detection interval, thus facilitating the repair or replacement of parts of the pipeline. When the cavitation detection results correspond to the interval detection results of all detection intervals, it is easy to assess the degree of cavitation in the entire pipeline, such as how many places in the entire pipeline have cavitation phenomena, thereby facilitating the replacement of the entire pipeline to ensure stable fluid delivery.
[0070] By following the steps above, the cavitation detection results for each detection zone are determined, making it easy to pinpoint the location of cavitation phenomena in the pipeline. This allows for precise local repair or replacement of the pipeline, ensuring that fluid within the pipeline is less prone to leakage. When the cavitation detection results correspond to the detection results of all zones, it is easy to assess the overall health of the pipeline based on the cavitation detection results.
[0071] In another embodiment of this application, determining the cavitation detection result of each detection interval based on the bubble loss corresponding to each detection interval includes:
[0072] S501, sum the bubble loss amounts determined at different detection times for each detection interval to obtain the total concentration difference for each detection interval.
[0073] For ease of understanding, such as Figure 2 As shown, the bubble concentration collected by each device is represented by C. nmIn this diagram, n represents the preset position number, and m represents the number of detection rounds. Both n and m are positive integers, n = 1, 2, 3, 4, ..., m = 1, 2, 3, 4, ..., meaning the bubble concentration collected by device 1 is C. 1m The bubble concentration collected by device 2 is C. 2m The bubble concentration collected by device n is C. nm , representing the bubble concentration collected by device n during the m-th round of detection.
[0074] The bubble loss corresponding to each detection interval is represented by ΔC. nm This indicates that the detection interval 1 between device 1 and device 2 ( Figure 2 The bubble loss at interval 1) is ΔC 1m And △C 1m =C 1m -C 2m , where △C 1m This represents the bubble loss in detection interval 1 during the m-th round of detection. Similarly, detection interval 2 between device 2 and device 3 ( Figure 2 The bubble loss at interval 2) is ΔC 2m And △C 2m =C 2m -C 3m , where △C 2m This represents the bubble loss amount corresponding to detection interval 2 during the m-th round of detection.
[0075] If a total of 3 rounds of bubble concentration testing were conducted, then m = 3. Since the 3 rounds of testing were not performed simultaneously, the testing time corresponding to the bubble concentration in each round was different. That is, different testing times correspond to different testing rounds, as detailed in the table below:
[0076]
[0077] Calculate the sum of concentration differences Q across all detection intervals. n At that time, Q n =△C n1 +△C n2 +△C n3 +……+△C nm .
[0078] S502, the detection intervals where the sum of the concentration differences are located in the first threshold interval, the second threshold interval, and the third threshold interval, respectively, are normal, abnormal, and severe cavitation detection results.
[0079] In one embodiment, the boundary values of the first threshold interval, the second threshold interval, and the third threshold interval are related to the material of the pipeline. Specifically, the boundary values include P and K, where P represents the concentration value at which the pipeline deforms due to cavitation, and the user can set it according to the actual situation. This parameter is a concentration value, mainly depending on the corrosion resistance of the material. For example, if a certain concentration of bubbles breaks at this location, it is the critical value for deformation of an aluminum pipe under impact, while an iron pipe will not deform. Therefore, the P value should be increased when using an iron pipe. K represents the concentration value at which the pipeline is critically damaged by cavitation, and the user can set it according to the actual situation, using the same method as P.
[0080] Then there are a first threshold interval (0, P], a second threshold interval (P, K), and a third threshold interval [K, infinity). When Q n When Q is within the first threshold interval, it proves that the total number of ruptured bubbles in the nth detection interval is small, making it less likely to cause deformation of the pipeline in the nth detection interval; when Q n When Q is within the second threshold interval, it proves that the pipeline is prone to deformation in the nth detection interval; when Q n When the value falls within the third threshold range, it indicates that the pipeline is prone to rupture in the nth detection range. This makes it easier to repair or replace the pipeline based on different cavitation detection results.
[0081] For ease of understanding, the above steps are explained in detail. In one embodiment, the detection interval m is... x Bubble loss Q determined at different detection times n Summing yields the detection interval m. x The sum of concentration differences R x Where x is a positive integer, m x Q represents the x-th detection interval. n Represents the detection interval m x The bubble loss amount obtained in the nth detection, where n is a positive integer.
[0082] R x =Q1 + Q2 + Q3 + ... + Q n R x This represents the sum of concentration differences from n detections in the x-th detection interval;
[0083] When the detection interval m x The sum of concentration differences R x Located in the threshold interval P k When, the threshold interval P k The corresponding detection result is determined as the detection interval m. x The cavitation detection results, P k It is among multiple threshold intervals and R x The corresponding threshold range, where k is a positive integer.
[0084] Wherein, the detection interval m x The range can be m1, m2, m3, etc. The specific number of detection intervals depends on the number of bubble concentration detection devices in the actual pipeline. For example, if there are 10 bubble concentration detection devices, there are 11 detection intervals in total. In this case, x is 11, the first detection interval is m1, and the last detection interval is m... 11 Multiple bubble concentration measurements are performed within each detection interval to obtain the bubble loss Q at different detection times. n For example, if all detection intervals are tested three times, then each detection interval has three bubble loss values: m1 has Q1, Q2, and Q3, m2 has Q1, Q2, and Q3, and so on. This allows us to calculate the total concentration difference R for each detection interval. x .
[0085] In another embodiment of this application, the threshold interval includes a first threshold interval, a second threshold interval, and a third threshold interval;
[0086] The detection intervals where the sum of the concentration differences falls within the first threshold interval, the second threshold interval, and the third threshold interval correspond to cavitation detection results of normal, abnormal, and severe, respectively.
[0087] In another embodiment of this application, the different detection times are determined according to a preset detection cycle, and the bubble concentration is collected once after each detection cycle.
[0088] In one embodiment, the detection cycle is 1 second, meaning that the bubble concentration is detected once every second. This embodiment does not specifically limit the value of the detection cycle. Figure 3 As shown, after obtaining the bubble concentration at each preset position, it is determined whether the time interval T is greater than 1 second. If it is, the next round of detection is performed to obtain the bubble concentration for the next round; otherwise, it is determined again whether the time interval T is greater than 1 second.
[0089] In another embodiment of this application, determining the cavitation detection result of each detection interval based on the bubble loss corresponding to each detection interval includes:
[0090] S801, compare the bubble loss corresponding to each detection interval with a preset quantity threshold;
[0091] S802, sum the bubble loss amounts exceeding the quantity threshold corresponding to different detection times in each detection interval to obtain the total concentration difference of each detection interval.
[0092] S803, determine the cavitation detection result of each detection interval based on the sum of the concentration differences of each detection interval.
[0093] In one embodiment, when the amount of bubble loss is less than the quantity threshold, it proves that the number of ruptured bubbles in the detection interval is small and insufficient to cause cavitation in the pipeline. In this case, the amount of bubble loss can be excluded from the total concentration difference, which helps to improve the accuracy of the total concentration difference and thus improves the detection accuracy.
[0094] In another embodiment of this application, obtaining the bubble concentration at each preset location in the pipeline includes:
[0095] The bubble concentration at each preset location in the pipeline is obtained when the pipeline is filled with water.
[0096] In one embodiment, a water level sensor or similar device is used to determine whether the pipeline is full of water. In another embodiment, the parameters of a motor or other actuator that transports the fluid are used to determine whether the pipeline is full of water. When the pipeline is full of water, the bubble concentration at each preset location in the pipeline is obtained; otherwise, the devices used to detect the bubble concentration are kept off.
[0097] By following the steps described above, filling the pipeline with water before detecting the bubble concentration helps improve the accuracy of the detection.
[0098] In another embodiment of this application, determining the bubble loss between adjacent preset positions based on the respective bubble concentrations includes:
[0099] The difference between the two bubble concentrations corresponding to the adjacent preset positions is used to obtain the first bubble loss between the adjacent preset positions.
[0100] Determine whether there are bubbles with a volume exceeding a preset volume threshold between the adjacent preset positions;
[0101] If there are bubbles exceeding the volume threshold, the amplification coefficient is determined based on the number of bubbles exceeding the volume threshold.
[0102] The amplification factor is multiplied by the first bubble loss between the adjacent preset positions to obtain the bubble loss between the adjacent preset positions, and the amplification factor is greater than 1.
[0103] In one embodiment, the bursting of a larger bubble will cause a greater impact on the pipeline. Therefore, by setting an amplification factor greater than 1 to increase the amount of bubble loss, it is beneficial to improve the accuracy of the detection results.
[0104] For ease of understanding, such as Figure 4 As shown, the overall process is as follows:
[0105] After the cavitation detection system is started, water is introduced into the control pipeline. If it is determined that there is no water in the pipeline, the cavitation detection device is stopped and restarted only after water is detected again in the pipeline.
[0106] After the water flow in the pipeline is stabilized, the bubble concentration at each (preset position) and the bubble concentration difference (bubble loss) at intervals are detected by a cavitation detection device. The interval between each detection is 1 second.
[0107] Sum the differences in bubble concentration at various locations during different detection periods (sum of concentration differences);
[0108] When the concentration difference of bubbles between two detection devices is greater than or equal to the preset concentration difference, the pipeline is in an abnormal state and is damaged, and the concentration difference data is accumulated.
[0109] When the concentration of air bubbles in a certain pipeline is found to be greater than P, it is determined that the pipeline has been initially damaged by cavitation. Control measures include closing the discharge valve or reducing the pump speed and water temperature.
[0110] When cavitation damage to the pipeline is detected to level K, it is determined that the pipeline is severely damaged and on the verge of rupture. The water valve is then shut off, and an alarm is issued to remind the user to have it repaired in time.
[0111] This application also provides a controller that uses the pipeline detection method described above when detecting pipelines.
[0112] This application embodiment also provides a pipeline in which multiple bubble concentration detection devices are arranged along the pipeline axis inside the pipeline for detecting bubble concentration at preset positions.
[0113] This application also provides a piping system, including the controller and the piping described above.
[0114] The sequence numbers of the embodiments in this application are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.
[0115] In the above embodiments of this application, 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.
[0116] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are merely illustrative; for example, the division of units can be a logical functional division, and in actual implementation, there may be other division methods. For instance, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the displayed or discussed mutual coupling, direct coupling, or communication connection may be through some interfaces; the indirect coupling or communication connection between units or modules may be electrical or other forms.
[0117] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.
[0118] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.
[0119] If the integrated unit is implemented as a software functional unit 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 this application, 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 this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.
[0120] The above description is only a preferred embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.
Claims
1. A pipeline inspection method, characterized in that, include: Obtain the bubble concentration at each preset location in the pipeline; The amount of bubble loss between adjacent preset positions is determined based on the bubble concentration of each bubble. The cavitation detection result is determined based on the bubble loss amount; The step of determining the bubble loss between adjacent preset positions based on the bubble concentration includes: The difference between the two bubble concentrations corresponding to the adjacent preset positions is used to obtain the first bubble loss between the adjacent preset positions. Determine whether there are bubbles with a volume exceeding a preset volume threshold between the adjacent preset positions; If there are bubbles exceeding the volume threshold, retrieve the corresponding amplification coefficient from the preset table based on the number of bubbles exceeding the volume threshold. The amplification factor is multiplied by the first bubble loss between the adjacent preset positions to obtain the bubble loss between the adjacent preset positions, and the amplification factor is greater than 1.
2. The pipeline inspection method according to claim 1, characterized in that, The step of determining the bubble loss between adjacent preset positions based on the bubble concentration includes: Along the fluid flow direction in the pipeline, the upstream preset position among the adjacent preset positions is taken as the subtrahend, and the downstream preset position is taken as the minuend. The difference between the two bubble concentrations corresponding to the adjacent preset positions is obtained to obtain the bubble loss between the adjacent preset positions.
3. The pipeline inspection method according to claim 1, characterized in that, Each of the adjacent preset positions is a detection interval; The step of determining the cavitation detection result based on the bubble loss includes: The cavitation detection results for each detection interval are determined based on the bubble loss corresponding to each detection interval, or The interval detection result of each detection interval is determined based on the bubble loss corresponding to each detection interval, and the cavitation detection result is determined based on all the interval detection results.
4. The pipeline inspection method according to claim 3, characterized in that, The step of determining the cavitation detection results for each detection interval based on the bubble loss corresponding to each detection interval includes: Detection range Bubble loss determined at different detection times Summing yields the detection interval. The sum of concentration differences Where x is a positive integer, Represents the x-th detection interval. Representative detection interval The bubble loss amount obtained in the nth detection, where n is a positive integer. = + + +……+ , This represents the sum of concentration differences from n detections in the x-th detection interval; When the detection interval The sum of concentration differences Located in the threshold range At that time, the threshold range The corresponding detection result is determined as the detection interval. The cavitation detection results It is among multiple threshold intervals and The corresponding threshold range, where k is a positive integer.
5. The pipeline inspection method according to claim 4, characterized in that, The threshold intervals include a first threshold interval, a second threshold interval, and a third threshold interval; The detection intervals where the sum of the concentration differences falls within the first threshold interval, the second threshold interval, and the third threshold interval correspond to cavitation detection results of normal, abnormal, and severe, respectively.
6. The pipeline inspection method according to claim 3, characterized in that, The step of determining the cavitation detection results for each detection interval based on the bubble loss corresponding to each detection interval includes: Compare the bubble loss corresponding to each detection interval with a preset quantity threshold; The sum of the bubble loss amounts exceeding the quantity threshold corresponding to different detection times in each detection interval is used to obtain the total concentration difference of each detection interval. The cavitation detection results for each detection interval are determined based on the sum of the concentration differences between each detection interval.
7. The pipeline inspection method according to any one of claims 1-6, characterized in that, The process of obtaining the bubble concentration at each preset location in the pipeline includes: The bubble concentration at each preset location in the pipeline is obtained when the pipeline is filled with water.
8. A controller, characterized in that, The pipeline testing method described in any one of claims 1-7 shall be used when testing the pipeline.
9. A piping system, characterized in that, The device includes a pipeline and the controller as described in claim 8, wherein the pipeline is provided with a plurality of bubble concentration detection devices arranged along the pipeline axis inside the pipeline for detecting bubble concentration at a preset position.