Pipeline scaling monitoring method, device and system

Abstract

The embodiment of the invention relates to a pipeline scaling monitoring method, device and system, and the method comprises the steps: obtaining target pipeline parameters which comprise the basic parameters of a target pipeline, the flow of the pipeline and the pressure drop of the pipeline; inputting the target pipeline parameter into a pipeline inner diameter calculation model, and outputting a pipeline equivalent inner diameter of the target pipeline; the theoretical pipeline inner diameter of the target pipeline is determined according to the basic parameters of the target pipeline, and the scaling thickness of the target pipeline is determined according to the theoretical pipeline inner diameter of the target pipeline and the equivalent pipeline inner diameter of the target pipeline; according to the method, target pipeline parameters collected in real time are input into the pipeline inner diameter calculation model, the pipeline equivalent inner diameter of the target pipeline is output, the pipeline equivalent inner diameter is compared with the pipeline theoretical inner diameter, the pipeline scaling degree is judged, pipeline scaling is monitored in real time, and the method is visual and convenient to operate.

Description

Technical Field

[0001] This invention relates to the field of online monitoring technology, and in particular to a method, device and system for monitoring pipeline scaling. Background Technology

[0002] For oilfield gathering and transportation pipelines, scaling is an unavoidable problem due to the complexity of the transported media. As scale gradually thickens, it encroaches on the internal space of the pipeline, obstructing fluid transport and potentially causing embolisms, severely impacting the normal operation of the pipeline. Implementing online scaling monitoring allows for timely acquisition of pipeline scaling information, enabling proactive preventative measures and improving treatment efficiency.

[0003] Many related technologies focus on online corrosion monitoring, while research on online scaling monitoring is limited. Simple and effective online scaling monitoring and early warning technologies have not yet been developed, which restricts the improvement of pipeline scaling prevention and control. Summary of the Invention

[0004] This invention provides a method, device, and system for monitoring pipeline scaling, in order to solve the technical problem of how to monitor pipeline scaling quickly and conveniently.

[0005] In a first aspect, the present invention provides a method for monitoring pipeline scaling, comprising: acquiring target pipeline parameters, the target pipeline parameters including basic parameters of the target pipeline, pipeline flow rate, and pipeline pressure drop; inputting the target pipeline parameters into a pipeline inner diameter calculation model, and outputting the equivalent inner diameter of the target pipeline; determining the theoretical inner diameter of the target pipeline based on the basic parameters of the target pipeline, and determining the scaling thickness of the target pipeline based on the theoretical inner diameter and the equivalent inner diameter of the target pipeline.

[0006] In some embodiments, the pipeline inner diameter calculation model includes a first relationship, a second relationship, and a third relationship; wherein, the first relationship is a relationship between pipeline flow velocity and equivalent pipeline inner diameter constructed based on pipeline flow rate; the second relationship is a relationship between pipeline pressure drop and pipeline flow velocity and equivalent pipeline inner diameter constructed based on pipeline length in the basic parameters when pipeline flow velocity is not less than a preset threshold; and the third relationship is another relationship between pipeline pressure drop and pipeline flow velocity and equivalent pipeline inner diameter constructed based on pipeline length in the basic parameters when pipeline flow velocity is less than a preset threshold.

[0007] In some embodiments, the pipeline inner diameter calculation model is as follows:

[0008]

[0009] Where Q represents the pipeline flow rate, d represents the equivalent inner diameter of the pipeline, υ represents the pipeline velocity, h represents the pipeline length, and P represents the pipeline flow rate.j This indicates the pipeline pressure drop; k1, k2, k3, and k4 represent preset coefficients; υ 阈值 This indicates a preset threshold.

[0010] In some embodiments, determining the theoretical inner diameter of the target pipeline based on the basic parameters of the target pipeline includes: determining the theoretical inner diameter of the target pipeline based on the outer diameter of the target pipeline, the inner wall thickness of the pipeline, and the inner coating thickness of the pipeline.

[0011] In some embodiments, the formula for calculating the theoretical inner diameter of the pipeline is as follows:

[0012] d0=D-2×R-2×r

[0013] Where d0 represents the theoretical inner diameter of the pipeline, D represents the outer diameter of the pipeline, R represents the inner wall thickness of the pipeline, and r represents the inner coating thickness of the pipeline.

[0014] In some embodiments, the method further includes at least one of the following: generating an alarm signal to an alarm device when the equivalent inner diameter of the pipeline is less than the theoretical diameter of the pipeline; and generating an alarm signal to an alarm device when the scale thickness is greater than a preset thickness.

[0015] Secondly, the present invention provides a pipeline scaling monitoring device, comprising: a pipeline parameter acquisition module for acquiring target pipeline parameters, the target pipeline parameters including basic parameters of the target pipeline, pipeline flow rate, and pipeline pressure drop; a pipeline inner diameter calculation module for inputting the target pipeline parameters into a pipeline inner diameter calculation model and outputting the equivalent inner diameter of the target pipeline; and a scaling thickness determination module for determining the theoretical inner diameter of the target pipeline based on the basic parameters of the target pipeline, and determining the scaling thickness of the target pipeline based on the theoretical inner diameter and the equivalent inner diameter of the target pipeline.

[0016] Thirdly, the present invention provides a pipeline scaling monitoring system, including a sensor and a server; the sensor is used to collect the pipeline flow rate and pipeline pressure drop of a target pipeline, and send the pipeline flow rate and pipeline pressure drop of the target pipeline to the server, so that the server can implement the steps of the pipeline scaling monitoring method as described in any of the first aspects.

[0017] In some embodiments, the sensor includes a flow sensor disposed on the target pipeline, and a first pressure sensor and a second pressure sensor disposed at both ends of the target pipeline; the flow sensor is used to collect the pipeline flow of the target pipeline and send the pipeline flow to the server; the first pressure sensor and the second pressure sensor are respectively used to collect the starting pressure and the ending pressure of the target pipeline and send the starting pressure and the ending pressure to the server, so that the server determines the pipeline pressure drop of the target pipeline based on the starting pressure and the ending pressure.

[0018] In some embodiments, an alarm device is also included; the alarm device is used for at least one of the following: when the equivalent inner diameter of the pipeline is less than the theoretical diameter of the pipeline, an alarm is triggered based on an alarm signal generated by the server; when the scale thickness is greater than a preset thickness, an alarm is triggered based on an alarm signal generated by the server.

[0019] The pipeline scaling monitoring method, device, and system provided in this invention input the real-time collected target pipeline parameters into the pipeline inner diameter calculation model, output the equivalent inner diameter of the target pipeline, compare the equivalent inner diameter with the theoretical inner diameter of the pipeline, and determine the degree of scaling. This achieves real-time monitoring of pipeline scaling, and the method is intuitive and easy to operate. Attached Figure Description

[0020] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0021] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0022] Figure 1 This is a schematic diagram of the structure of a pipeline scaling monitoring system provided in an embodiment of the present invention;

[0023] Figure 2 A schematic flowchart of a pipeline scaling monitoring method provided in an embodiment of the present invention;

[0024] Figure 3 This is a schematic diagram of the structure of a target pipeline network provided in an embodiment of the present invention;

[0025] Figure 4 for Figure 3 A schematic diagram illustrating the process of uploading target pipeline parameters to the server for the target pipeline network shown.

[0026] Figure 5 A schematic diagram of another target pipeline monitoring point provided in an embodiment of the present invention;

[0027] Figure 6 This is a schematic diagram of the structure of a pipeline scaling monitoring device provided in an embodiment of the present invention;

[0028] Figure 7 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention;

[0029] 101-Sensor; 102-Server; 103-Alarm device. Detailed Implementation

[0030] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] Figure 1 This is a schematic diagram of the structure of a pipeline scaling monitoring system provided in an embodiment of the present invention, as shown below. Figure 1 As shown, the pipeline scaling monitoring system includes at least one sensor 101, a server 102, and an alarm device 103. The sensors 101 are used to collect parameters of the target pipeline to be monitored, including flow rate and pressure, and send the target pipeline parameters to the server 102. The server 102 inputs the target pipeline parameters into its deployed pipeline inner diameter calculation model to calculate the equivalent inner diameter of the target pipeline, thereby determining the scaling thickness. When the scaling thickness is large, the alarm device 103 will trigger an alarm.

[0032] It should be noted that, Figure 1 The server in the pipeline scaling monitoring system shown can be used to perform the pipeline scaling monitoring method of the following embodiments.

[0033] Figure 2 This is a schematic flowchart of a pipeline scaling monitoring method provided in an embodiment of the present invention, as shown below. Figure 2 As shown, the method includes:

[0034] Step S201: Obtain the target pipeline parameters, which include the basic parameters of the target pipeline, pipeline flow rate, and pipeline pressure drop.

[0035] Specifically, basic parameters of the target pipeline, including diameter, wall thickness, length, and inner coating thickness, can be obtained by consulting the design drawings or through on-site measurements. Parameters of the transported medium, such as pipeline flow rate (e.g., daily transport volume), can be obtained using flow sensors installed on the target pipeline. Pressure sensors installed at both ends of the target pipeline can collect the starting and ending pressure values, and the pipeline pressure drop can be calculated based on these values. Subsequently, the basic parameters of the target pipeline, along with the pipeline flow rate and pressure drop collected by the sensors, are sent to the server. During data transmission, the sensors use a wireless router to package and forward the target pipeline parameters to a wireless gateway. The wireless gateway receives the data packets and uploads them to the server (also known as the PC or central control room host) via USB.

[0036] Step S202: Input the target pipeline parameters into the pipeline inner diameter calculation model and output the equivalent inner diameter of the target pipeline.

[0037] Specifically, the server is equipped with a calculation model based on basic pipeline parameters, flow rate, pressure drop, and pipeline inner diameter. The target pipeline parameters can be input into the model, and the equivalent inner diameter of the target pipeline will be output.

[0038] In some embodiments, the pipeline inner diameter calculation model includes a first relationship, a second relationship, and a third relationship; wherein, the first relationship is a relationship between pipeline flow velocity and equivalent pipeline inner diameter constructed based on pipeline flow rate; the second relationship is a relationship between pipeline pressure drop and pipeline flow velocity and equivalent pipeline inner diameter constructed based on pipeline length in the basic parameters when pipeline flow velocity is not less than a preset threshold; and the third relationship is another relationship between pipeline pressure drop and pipeline flow velocity and equivalent pipeline inner diameter constructed based on pipeline length in the basic parameters when pipeline flow velocity is less than a preset threshold.

[0039] Specifically, in the process of solving the pipeline inner diameter calculation model, the target pipeline parameters can be substituted into the first and second relations to solve for candidate solutions of pipeline flow velocity and equivalent pipeline inner diameter. The pipeline flow velocity in the candidate solutions is then verified to ensure that it is not less than a preset threshold. If it is, it is the final solution. If it is not, the target pipeline parameters can be substituted into the first and third relations to solve for candidate solutions of pipeline flow velocity and equivalent pipeline inner diameter. The pipeline flow velocity in the candidate solutions is then verified to ensure that it is less than a preset threshold. If it is, it is the final solution.

[0040] In some embodiments, the pipeline inner diameter calculation model is as follows:

[0041]

[0042] Where Q represents the pipeline flow rate, m3 / s; d represents the equivalent inner diameter of the pipeline, in meters; υ represents the pipeline velocity, in meters per second; h represents the pipeline length, in meters; P j This represents the pipeline pressure drop, in MPa; k1, k2, k3, and k4 represent preset coefficients, υ 阈值 This indicates a preset threshold.

[0043] Specifically, a historical dataset can be obtained, which includes historical pipeline parameters for different pipelines, as well as the corresponding historical pipeline flow velocities and equivalent inner diameters. First, k1 = 14.736 in the above formula (1) can be regressed based on the historical dataset; then, based on the historical pipeline flow velocities and υ... 阈值 The size divides the historical dataset into sections with pipeline flow velocities not less than υ. 阈值 The first historical dataset and pipeline flow velocity less than υ 阈值 The second historical dataset, based on the first historical dataset, regresses k2 = 0.0000107 in the above formula (1), and based on the second historical dataset, regresses k3 = 0.00000912 and k4 = 0.867 in the above formula (1); preferably, υ 阈值 =1.2m / s.

[0044] Step S203: Determine the theoretical inner diameter of the target pipeline based on the basic parameters of the target pipeline, and determine the scale thickness of the target pipeline based on the theoretical inner diameter and the equivalent inner diameter of the target pipeline.

[0045] Specifically, after calculating the equivalent inner diameter of the pipeline using the constructed pipeline inner diameter calculation model, it can be compared with the theoretical inner diameter of the pipeline to calculate the scale thickness. By monitoring the scale formation in real time, the formulation and dosage of the scale inhibitor can be adjusted in a timely manner.

[0046] In some embodiments, determining the theoretical inner diameter of the target pipeline based on the basic parameters of the target pipeline in step S203 includes: determining the theoretical inner diameter of the target pipeline based on the outer diameter of the target pipeline, the inner wall thickness of the pipeline, and the inner coating thickness of the pipeline.

[0047] Specifically, the basic parameters of the pipeline include the outer diameter, inner wall thickness, and inner coating thickness. The theoretical inner diameter of the target pipeline can be calculated based on the outer diameter, inner wall thickness, and inner coating thickness.

[0048] In some embodiments, the formula for calculating the theoretical inner diameter of the pipeline is as follows:

[0049] d0=D-2×R-2×r (2)

[0050] Where d0 represents the theoretical inner diameter of the pipeline, in meters; D represents the outer diameter of the pipeline, in meters; R represents the inner wall thickness of the pipeline, in meters; and r represents the inner coating thickness of the pipeline, in meters.

[0051] In some embodiments, the method further includes at least one of the following: generating an alarm signal to an alarm device when the equivalent inner diameter of the pipeline is less than the theoretical diameter of the pipeline; and generating an alarm signal to an alarm device when the scale thickness is greater than a preset thickness.

[0052] Specifically, the calculated equivalent inner diameter of the pipeline can be compared with the theoretical inner diameter of the pipeline. If the equivalent inner diameter is smaller than the theoretical inner diameter, it indicates that scaling has occurred in the pipeline, and the server can send a warning signal to the alarm device so that the alarm device can issue voice and sound alarm information. If the equivalent inner diameter is not smaller than the theoretical inner diameter, it indicates that there is no scaling in the pipeline, and no warning is needed. Alternatively, if the calculated scaling thickness is large (greater than the preset thickness), the server can send a warning signal to the warning device so that the warning signal can issue voice and sound prompt information.

[0053] The pipeline scaling monitoring method provided in this embodiment calculates the equivalent inner diameter of the pipeline by inputting the parameters of the target pipeline to be monitored into the pipeline inner diameter calculation model. The scaling status of the pipeline can be judged based on the change of the equivalent inner diameter. This method realizes real-time monitoring of pipeline scaling, and the method is more intuitive, uses more economical equipment, and is more operable.

[0054] Figure 3 This is a schematic diagram of a target pipeline network provided in an embodiment of the present invention. Figure 4 for Figure 3 The diagram illustrates the process of uploading target pipeline parameters to the server for the target pipeline network shown. To further understand the embodiments of the present invention, the following is a detailed explanation. Figure 3 , 4 The present invention will be described in detail below:

[0055] like Figure 3 The target pipeline network shown is a water injection system network. Based on the analysis requirements and the distribution characteristics of the water injection system network, the staff can designate four monitoring points: water injection pump manifold outlet (a), water distribution station inlet main line (b), water distribution station valve group (c), and water injection wellhead (d). The parameters of these four monitoring points are monitored: pressure Pj and flow rate Q. The collected data, namely pipeline inlet pressure, pipeline outlet pressure, and water injection flow rate corresponding to the water injection flow module, are forwarded to the wireless gateway through a wireless router. The wireless gateway receives the data and sends it to the server. The server completes the online monitoring of pipeline scaling by executing steps S201-S203.

[0056] To further illustrate the accuracy of the scaling monitoring in this embodiment, Figure 5This is a schematic diagram of another target pipeline monitoring point provided in an embodiment of the present invention, such as... Figure 5 As shown, the pipeline network divides the main line into: OA section, AB section, AC section, AE section, and BD section. Based on the collected pressure and flow data of each section, the data is transmitted to the server platform of the central control room host, and the analysis yields the following table:

[0057] Table 1. Scaling Analysis Results of Main Trunk Lines

[0058]

[0059] Taking the OA section in Table 1 as an example, the original design pipe inner diameter (i.e., the theoretical inner diameter of the above pipeline) at the OA end is 133mm, and the calculated effective equivalent diameter (i.e., the equivalent inner diameter of the pipeline) is 126mm. Therefore, the calculated average scale thickness is: (133-126) / 2=3.5mm.

[0060] The calculated average scale thickness was then compared with the actual scale amount measured on the main line, as shown in Table 2:

[0061] Table 2 Comparison of online monitoring scale amount and actual scale amount

[0062] Pipe Name Calculate the scale thickness, in meters. Actual scale thickness, m Error value, % OA 0.004 0.004 -1.19 AB 0.014 0.013 -5.15 AC 0.015 0.015 2.11 BD 0.010 0.010 3.54 AE 0.007 0.007 -2.41

[0063] As shown in Table 2, the error between the scale thickness calculated by the pipeline scaling monitoring method in this embodiment and the actual scale thickness is within ±8%. In other words, the pipeline scaling monitoring method in this embodiment can reflect the scaling status in the pipeline in a timely and accurate manner.

[0064] Figure 6 This is a schematic diagram of a pipeline scaling monitoring device provided in an embodiment of the present invention. Figure 6 As shown, the pipeline scaling monitoring device includes:

[0065] The pipeline parameter acquisition module 601 is used to acquire target pipeline parameters, including basic parameters of the target pipeline, pipeline flow rate, and pipeline pressure drop; the pipeline inner diameter calculation module 602 is used to input the target pipeline parameters into the pipeline inner diameter calculation model and output the equivalent inner diameter of the target pipeline; the scale thickness determination module 603 is used to determine the theoretical inner diameter of the target pipeline based on the basic parameters of the target pipeline, and to determine the scale thickness of the target pipeline based on the theoretical inner diameter and the equivalent inner diameter of the target pipeline.

[0066] In some embodiments, the pipeline inner diameter calculation model includes a first relationship, a second relationship, and a third relationship; wherein, the first relationship is a relationship between pipeline flow velocity and equivalent pipeline inner diameter constructed based on pipeline flow rate; the second relationship is a relationship between pipeline pressure drop and pipeline flow velocity and equivalent pipeline inner diameter constructed based on pipeline length in the basic parameters when pipeline flow velocity is not less than a preset threshold; and the third relationship is another relationship between pipeline pressure drop and pipeline flow velocity and equivalent pipeline inner diameter constructed based on pipeline length in the basic parameters when pipeline flow velocity is less than a preset threshold.

[0067] In some embodiments, the pipeline inner diameter calculation model is as follows:

[0068]

[0069] Where Q represents the pipeline flow rate, d represents the equivalent inner diameter of the pipeline, υ represents the pipeline velocity, h represents the pipeline length, and P represents the pipeline flow rate. j This indicates the pipeline pressure drop; k1, k2, k3, and k4 represent preset coefficients; υ 阈值 This indicates a preset threshold.

[0070] In some embodiments, the scale thickness determination module 603 is specifically used to: determine the theoretical inner diameter of the target pipeline based on the outer diameter of the target pipeline, the inner wall thickness of the pipeline, and the inner coating thickness of the pipeline.

[0071] In some embodiments, the formula for calculating the theoretical inner diameter of the pipeline is as follows:

[0072] d0=D-2×R-2×r

[0073] Where d0 represents the theoretical inner diameter of the pipeline, D represents the outer diameter of the pipeline, R represents the inner wall thickness of the pipeline, and r represents the inner coating thickness of the pipeline.

[0074] In some embodiments, the device further includes an alarm signal generation module 604, which is used for at least one of the following: generating an alarm signal for an alarm device when the equivalent inner diameter of the pipeline is less than the theoretical diameter of the pipeline; and generating an alarm signal for an alarm device when the scale thickness is greater than a preset thickness.

[0075] Those skilled in the art will understand that, for the sake of convenience and brevity, the pipeline scaling monitoring device described above is deployed on the server side. Its specific working process and corresponding beneficial effects can be found in the corresponding process in the aforementioned method example, and will not be repeated here.

[0076] This invention also provides a pipeline scaling monitoring system. For example... Figure 1As shown, the pipeline scaling monitoring system includes a sensor 101 and a server 102; the sensor 101 is used to collect the pipeline flow rate and pipeline pressure drop of the target pipeline, and send the pipeline flow rate and pipeline pressure drop of the target pipeline to the server 102, so that the server 102 can implement the steps of the pipeline scaling monitoring method described in the preceding claim.

[0077] In some embodiments, the sensor 101 includes a flow sensor disposed on the target pipeline, and a first pressure sensor and a second pressure sensor disposed at both ends of the target pipeline; the flow sensor is used to collect the pipeline flow of the target pipeline and send the pipeline flow to the server 102; the first pressure sensor and the second pressure sensor are respectively used to collect the starting pressure and the ending pressure of the target pipeline and send the starting pressure and the ending pressure to the server 102, so that the server 102 determines the pipeline pressure drop of the target pipeline based on the starting pressure and the ending pressure.

[0078] In some embodiments, an alarm device 103 is also included; the alarm device 103 is used for at least one of the following: when the equivalent inner diameter of the pipeline is less than the theoretical diameter of the pipeline, an alarm is triggered based on an alarm signal generated by the server 102; when the scale thickness is greater than a preset thickness, an alarm is triggered based on an alarm signal generated by the server 102.

[0079] Specifically, the pipeline scaling monitoring system platform has functions such as remote transmission, 24-hour real-time viewing of monitoring data, and early warning time not exceeding 24 hours, which can realize real-time monitoring of pipeline scaling.

[0080] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process and corresponding beneficial effects of the pipeline scaling monitoring system described above can be found in the corresponding process in the aforementioned method examples, and will not be repeated here.

[0081] like Figure 7 As shown, this embodiment of the invention provides an electronic device, including a processor 701, a communication interface 702, a memory 703, and a communication bus 704, wherein the processor 701, the communication interface 702, and the memory 703 communicate with each other via the communication bus 704.

[0082] Memory 703 is used to store computer programs;

[0083] In one embodiment of the present invention, when the processor 701 executes the program stored in the memory 703, it implements the steps of the pipeline scaling monitoring method provided in any of the foregoing method embodiments.

[0084] The electronic device provided in this embodiment of the invention has a similar implementation principle and technical effect to the above embodiments, and will not be described again here.

[0085] The aforementioned memory 703 can be an electronic memory such as flash memory, EEPROM (Electrically Erasable Programmable Read-Only Memory), EPROM, hard disk, or ROM. Memory 703 has storage space for program code used to perform any of the method steps described above. For example, the storage space for program code may include individual program codes for implementing the various steps in the methods described above. This program code can be read from or written to one or more computer program products. These computer program products include program code carriers such as hard disks, optical discs (CDs), memory cards, or floppy disks. Such computer program products are typically portable or fixed storage units. The storage unit may have storage segments or storage spaces arranged similarly to memory 703 in the aforementioned electronic device. The program code may be compressed, for example, in a suitable form. Typically, the storage unit includes programs for performing the method steps according to embodiments of the invention, i.e., code that can be read by a processor such as 701, which, when run by the electronic device, causes the electronic device to perform the various steps in the methods described above.

[0086] Embodiments of the present invention also provide a computer-readable storage medium. The computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the pipeline scaling monitoring method described above.

[0087] The computer-readable storage medium may be included in the device / apparatus described in the above embodiments; or it may exist independently and not assembled into the device / apparatus. The computer-readable storage medium carries one or more programs that, when executed, implement the method according to the embodiments of the present invention.

[0088] According to embodiments of the present invention, the computer-readable storage medium may be a non-volatile computer-readable storage medium, such as including, but not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In the present invention, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0089] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitations, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0090] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for monitoring scale buildup in pipelines, characterized in that, include: Obtain the target pipeline parameters, which include the basic parameters of the target pipeline, pipeline flow rate, and pipeline pressure drop; The target pipeline parameters are input into the pipeline inner diameter calculation model, and the equivalent inner diameter of the target pipeline is output. The theoretical inner diameter of the target pipeline is determined based on its basic parameters, and the scale thickness of the target pipeline is determined based on its theoretical inner diameter and its equivalent inner diameter.

2. The method according to claim 1, characterized in that, The pipeline inner diameter calculation model includes a first relation, a second relation, and a third relation; Among them, the first relationship is the relationship between pipeline flow velocity and pipeline equivalent inner diameter based on pipeline flow rate; the second relationship is a relationship between pipeline pressure drop and pipeline flow velocity and pipeline equivalent inner diameter based on pipeline length in the basic parameters when pipeline flow velocity is not less than a preset threshold; and the third relationship is another relationship between pipeline pressure drop and pipeline flow velocity and pipeline equivalent inner diameter based on pipeline length in the basic parameters when pipeline flow velocity is less than a preset threshold.

3. The method according to claim 2, characterized in that, The pipeline inner diameter calculation model is shown below: Where Q represents the pipeline flow rate, d represents the equivalent inner diameter of the pipeline, υ represents the pipeline velocity, h represents the pipeline length, and P represents the pipeline flow rate. j This indicates the pipeline pressure drop; k1, k2, k3, and k4 represent preset coefficients; υ 阈值 This indicates a preset threshold.

4. The method according to any one of claims 1-3, characterized in that, The step of determining the theoretical inner diameter of the target pipeline based on its basic parameters includes: The theoretical inner diameter of the target pipeline is determined based on the outer diameter of the target pipeline, the inner wall thickness of the pipeline, and the inner coating thickness of the pipeline.

5. The method according to claim 4, characterized in that, The formula for calculating the theoretical inner diameter of the pipeline is as follows: d0=D-2×R-2×r Where d0 represents the theoretical inner diameter of the pipeline, D represents the outer diameter of the pipeline, R represents the inner wall thickness of the pipeline, and r represents the inner coating thickness of the pipeline.

6. The method according to any one of claims 1-3, characterized in that, The method further includes at least one of the following: When the equivalent inner diameter of the pipeline is less than the theoretical diameter of the pipeline, an alarm signal is generated and sent to the alarm device. If the scale thickness exceeds a preset thickness, an alarm signal is generated and sent to the alarm device.

7. A pipeline scaling monitoring device, characterized in that, include: The pipeline parameter acquisition module is used to acquire target pipeline parameters, which include the basic parameters of the target pipeline, pipeline flow rate, and pipeline pressure drop. The pipeline inner diameter calculation module is used to input the target pipeline parameters into the pipeline inner diameter calculation model and output the equivalent inner diameter of the target pipeline. The scale thickness determination module is used to determine the theoretical inner diameter of the target pipeline based on the basic parameters of the target pipeline, and to determine the scale thickness of the target pipeline based on the theoretical inner diameter and the equivalent inner diameter of the target pipeline.

8. A pipeline scaling monitoring system, characterized in that, Including sensors and servers; The sensor is used to collect the pipeline flow rate and pipeline pressure drop of the target pipeline, and send the pipeline flow rate and pipeline pressure drop of the target pipeline to the server so that the server can implement the steps of the pipeline scaling monitoring method as described in any one of claims 1-6.

9. The system according to claim 8, characterized in that, The sensor includes a flow sensor installed on the target pipeline, and a first pressure sensor and a second pressure sensor installed at both ends of the target pipeline. The flow sensor is used to collect the pipeline flow of the target pipeline and send the pipeline flow to the server; The first pressure sensor and the second pressure sensor are used to collect the starting pressure and the ending pressure of the target pipeline, respectively, and send the starting pressure and the ending pressure to the server so that the server can determine the pipeline pressure drop of the target pipeline based on the starting pressure and the ending pressure.

10. The system according to claim 8 or 9, characterized in that, It also includes an alarm device; the alarm device is used for at least one of the following: If the equivalent inner diameter of the pipeline is less than the theoretical diameter of the pipeline, an alarm will be triggered based on the alarm signal generated by the server. If the scale thickness exceeds the preset thickness, an alarm will be triggered based on the alarm signal generated by the server.

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