Method for detecting conveying condition of silicon steel inhibitor in pipeline

Abstract

The invention discloses a method for detecting the conveying condition of a silicon steel inhibitor in a pipeline, and the method comprises the steps: obtaining the fluid density, fluid viscosity and fluid transverse average flow velocity of the inhibitor in a target pipeline, and measuring the speed of particles in the fluid and the average diameter of the measured particles; wherein the particle velocity comprises a particle transverse velocity and a particle longitudinal velocity; calculating a blockage index based on a blockage index calculation formula; meanwhile, the precipitation degree of the inhibitor in the target pipeline is obtained, and trend comparison is conducted on the precipitation degree and the blockage index; if the trends are inconsistent, adjusting a correction coefficient in a blockage index calculation formula until the trends are consistent, and forming a corresponding table of the blockage index, the precipitation degree and the transverse average flow velocity of the fluid; determining an actual blockage index based on the corresponding table and the actual fluid transverse average flow velocity; and performing early warning on the precipitation condition of the inhibitor in the target pipeline by using the actual blockage index. According to the method, the precipitation degree of the inhibitor in the pipeline is represented through the blockage index, and early warning is performed.

Description

Technical Field

[0001] The invention belongs to the field of silicon steel coil coating technology, and particularly relates to a method for detecting the transportation condition of a silicon steel inhibitor in a pipeline. Background Art

[0002] In the production process of silicon steel, especially after annealing, a layer of inhibitor needs to be applied to the upper and lower surfaces and sides of the silicon steel coil to achieve the special properties of silicon steel. The end surface inhibitor is a suspension. During the long-term flow process, due to the influence of abnormal conditions, the inhibitor will adhere to the inner surface of the pipe or the position of the elbow, which will affect the flow rate and flow of the entire pipe, thereby affecting the thickness and uniformity of the coating layer. If production continues according to the previous process, the quality of the product will become unstable. The conventional method is to clean or replace the pipeline regularly, and the flow state of the inhibitor in the pipeline is not detected. As a result, the formulation of the replacement cycle is somewhat arbitrary and it is impossible to accurately maintain the pipeline. Therefore, a monitoring method for accurate maintenance of the pipeline transportation process is needed, especially a real-time monitoring method for the pipeline when the end face of the silicon steel coil is sprayed. Summary of the Invention

[0003] The object of the present invention is to provide a method for detecting the transportation status of silicon steel inhibitor in a pipeline, so as to monitor the possible accumulation and blockage of the inhibitor in the pipeline.

[0004] The first aspect of the present invention provides a method for detecting the transport status of silicon steel inhibitors in a pipeline, the method comprising: Obtaining the fluid density, fluid viscosity, and average transverse velocity of the inhibitor in the target pipeline, and measuring the particle velocity in the fluid and the average diameter of the measured particles; wherein the particle velocity includes the particle transverse velocity and the particle longitudinal velocity; Based on the calculation formula of the blocking index, the blocking index is calculated by combining the fluid density, fluid viscosity, average lateral velocity of the fluid, particle velocity in the fluid, average diameter of the measured particles and the correction coefficient in the blocking index calculation formula; At the same time, the inhibitor precipitation degree in the target pipeline is obtained and compared with the blockage index trend. If the trends are inconsistent, the correction coefficient is adjusted until the two trends are consistent, and a corresponding table of the blockage index, precipitation degree, and horizontal average flow velocity of the fluid is formed. Determine an actual blockage index based on the correspondence table and the actual average transverse flow velocity of the fluid; The actual blockage index is used to provide early warning of inhibitor precipitation in the target pipeline.

[0005] In the above scheme, the target pipe is replaced with a transparent tube, and the particle velocity in the fluid is measured using a laser Doppler velocimeter.

[0006] In the above solution, multiple sensors are set along the target pipeline to obtain the fluid transverse flow velocity of the inhibitor at different positions in the target pipeline, and the average value is calculated to obtain the fluid transverse average flow velocity.

[0007] In the above scheme, the calculation formula of the congestion index is:

[0008] Where, is the congestion index, is the fluid density, is the fluid viscosity, and Respectively i The particle transverse velocity and particle longitudinal velocity of each particle, is the average diameter of the measured particles, is the number of particles measured, is the average transverse velocity of the fluid, 、 and a is the correction factor, is the transverse coefficient, is the longitudinal coefficient, a is the correction constant.

[0009] In the above scheme, the formula for calculating fluid viscosity is:

[0010] Where, is the fluid viscosity, is the fluid density, is a constant, is the fluid kinetic energy, is the fluid dissipation rate, which is measured by laser Doppler velocimetry; The calculation formula for fluid kinetic energy is:

[0011] Where, is the fluid kinetic energy, is the fluid density, is the change in the average transverse velocity of the fluid per unit time, is the unit time, is the total number of measurements.

[0012] In the above scheme, the degree of precipitation refers to the film thickness of the precipitation layer formed after the inhibitor is precipitated in the target pipeline; The correlation coefficient between the blocking index and the sedimentation degree was calculated to determine whether the trends were consistent.

[0013] In the above scheme, the correlation coefficient is the Pearson correlation coefficient; if the Pearson correlation coefficient exceeds the preset threshold, the trends are considered to be consistent.

[0014] In the above scheme, the actual blockage index is used to provide early warning of inhibitor precipitation in the target pipeline, including: Set a congestion index threshold. If the actual congestion index exceeds the congestion index threshold, an early warning will be issued.

[0015] According to a second aspect of the present invention, a computer device is provided, comprising: a processor and a memory, wherein the memory stores a program or instruction executable on the processor, and when the program or instruction is executed by the processor, the steps of the method for detecting the transport condition of a silicon steel inhibitor in a pipeline according to any one of the first aspects are implemented.

[0016] According to a third aspect of the present invention, a computer-readable storage medium is provided, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method for detecting the transportation status of silicon steel inhibitor in a pipeline according to any one of the first aspects are implemented.

[0017] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art: The present invention provides a method for detecting the transportation status of silicon steel inhibitors in a pipeline. The method calculates a blockage index by monitoring parameters such as the fluid density, viscosity, particle velocity, and particle size of the inhibitor in the pipeline, combining the correction coefficient in the blockage index calculation formula to compare the trend with the precipitation degree of the inhibitor in the pipeline. If the trends are inconsistent, the correction coefficient in the blockage index calculation formula is adjusted until the blockage index and the precipitation degree trends are consistent. The possible accumulation of pipeline residues can be identified and predicted through the blockage index, displayed in real time, and a warning can be issued when necessary to prevent interruption of the production process.

[0018] In addition, a correspondence table between the blockage index, the degree of precipitation, and the average lateral flow rate of the fluid was formed. The actual blockage index was determined based on the correspondence table and the actual average lateral flow rate of the fluid. Finally, the actual blockage index was used to warn of the precipitation of inhibitors in the target pipeline. This can achieve real-time monitoring and early warning of on-site pipeline transportation conditions, ensure the smooth progress of production, and can be promoted in relevant metallurgical enterprises. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 A schematic flow chart of a method for detecting the transport status of a silicon steel inhibitor in a pipeline provided in an embodiment of the present application; Figure 2 A schematic diagram of pipeline monitoring provided in an embodiment of the present application; Figure 3A schematic diagram of the hardware structure of a computer device provided in an embodiment of the present application.

[0020] In the figure: 1-inhibitor solution, 2-sensor, 3-transmitter, 4-data collector, 5-server, 6-monitor, 7-spray gun, 8-sensor installation location, 9-delivery pipeline, 10-pipeline sediment. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. Based on the embodiments provided in this application, all other embodiments obtained by those of ordinary skill in the art without making creative work are within the scope of protection of the present invention.

[0022] Obviously, the drawings described below are merely examples or embodiments of the present application. Those skilled in the art can, without inventive effort, apply the present application to other similar scenarios based on these drawings. Furthermore, it is also understood that, although the effort involved in such a development process may be complex and lengthy, for those skilled in the art related to the content disclosed in this application, changes in design, manufacturing, or production based on the technical content disclosed in this application are merely conventional technical means and should not be construed as an insufficiency of the content disclosed in this application.

[0023] References to "embodiments" in this application mean that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearance of this phrase in various places in the specification does not necessarily refer to the same embodiment, nor does it refer to independent or alternative embodiments that are mutually exclusive of other embodiments. It is understood, both explicitly and implicitly, by those skilled in the art that the embodiments described in this application may be combined with other embodiments unless there is a conflict.

[0024] Unless otherwise defined, technical or scientific terms used herein shall have the ordinary meaning as understood by persons of ordinary skill in the art to which this application belongs. The terms "a," "an," "an," "the," and similar expressions used herein do not denote quantitative limitations and may refer to either the singular or the plural. The terms "comprise," "include," "have," and any variations thereof, used herein, are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or apparatus comprising a series of steps or modules (units) is not limited to the listed steps or units but may also include steps or units not listed, or may include other steps or units inherent to the process, method, product, or apparatus. The terms "connected," "connected," "coupled," and similar expressions used herein are not limited to physical or mechanical connections but may include electrical connections, whether direct or indirect. As used herein, "plurality" means two or more. "And / or" describes an association between associated objects, indicating that three possible relationships exist. For example, "A and / or B" may mean: A exists alone; A and B exist simultaneously; or B exists alone. The character " / " generally indicates that the objects before and after are in an "or" relationship. The terms "first", "second", "third", etc. involved in this application are only used to distinguish similar objects and do not represent a specific order for the objects.

[0025] The present application provides a method for detecting the transport status of silicon steel inhibitors within a pipeline, which monitors the flow state of silicon steel inhibitors during pipeline transportation. Specifically, the present application is about monitoring the accumulation and blockage of inhibitors that may exist in the pipeline during the silicon steel production process, from the time the silicon steel coil is annealed to the time it is transported to the nozzle. In particular, it monitors the precipitation of inhibitors in the pipeline when the silicon steel coil end face is coated. The method calculates a blockage index and uses the blockage index to characterize the precipitation of inhibitors in the pipeline, thereby predicting and identifying possible blockage problems. Utilizing high-precision sensor technology, the system can automatically detect the accumulation of particulate matter in the pipeline and issue a warning when necessary to prevent interruption of the production process.

[0026] like Figure 1 and Figure 2 As shown, in response to the blockage problem that may occur during the pipeline transportation of magnesium oxide solution, an embodiment of the present application provides a method for detecting the transportation status of silicon steel inhibitors in the pipeline, focusing on the pipeline for transporting end face inhibitors, and realizing intelligent monitoring of pipeline blockage through the blockage index.

[0027] First, transparent plastic tubes were used to replace some of the transmission pipes at locations prone to clogging. The tubes were 3 cm long, and sensors were installed at various locations on the tubes to measure the flow rate at those locations. A laser Doppler velocimeter was also installed outside the tubes to measure particle velocity in the fluid online. The blocking index characterizes the degree of inhibitor precipitation. The blocking index calculation formula is as follows:

[0028] Where, 、 Respectively i The lateral and longitudinal velocities of the particles, When measuring this set of data, the average lateral velocity of the fluid is: is the transverse coefficient, is the longitudinal coefficient, a is the correction constant. n To measure the number of particles. To measure the average diameter of the particles, the particle diameter range is 0.3-0.6 mm.

[0029] If there is no blockage, the particle transverse velocity is close to the average transverse velocity of the fluid, and the particle longitudinal velocity is also relatively small. If the pipeline is blocked by sedimentation, the particle transverse velocity at different locations will vary greatly, and the particle longitudinal velocity will also increase. Therefore, the blockage index can reflect the degree of inhibitor precipitation.

[0030] in is the fluid viscosity, which is calculated as follows:

[0031] Where, is the fluid dissipation rate, measured by Doppler laser velocimetry, is the model constant, with a value of 0.08, k represents the kinetic energy of the fluid.

[0032] Fluid kinetic energy The calculation formula is:

[0033] in, is the fluid density, is the change in the average transverse velocity of the fluid per unit time, The unit time is set to 0.1s. N is the total number of measurements.

[0034] First, a 1:1 simulation experiment platform with the on-site simulation was built in the laboratory to measure the above experimental data. At regular intervals (e.g., 24 hours), the transparent plastic tube was disassembled to measure the sedimentation layer formed after the inhibitor inside the tube was precipitated. The film thickness of the sedimentation layer was measured, and the blockage index was calculated based on the measured experimental data. Of course, it is also possible not to build a simulation experiment platform, but to directly replace the locations where the pipelines are prone to blockage with transparent plastic pipes and then conduct the experiment.

[0035] After obtaining multiple pairs of clogging index and film thickness data, a trend comparison analysis is performed on the two. Since film thickness is a relatively intuitive and accurate indicator, the correction coefficient in the clogging index calculation formula can be determined based on the film thickness. 、 and a Is it accurate? Under normal circumstances, the more serious the inhibitor deposition, the greater the blockage index. Therefore, the accuracy of the correction factor in the blockage index calculation formula can be determined by calculating the Pearson correlation coefficient between the blockage index and the degree of deposition. If the Pearson correlation coefficient exceeds the preset threshold, such as 0.95, the trend is consistent. If the trend is inconsistent, the blockage index is adjusted. Internal correction factor 、 and a Therefore, the blockage index can accurately characterize the inhibitor precipitation situation in the pipeline.

[0036] Through many experiments, a blocking index can be formed inside the computer The sedimentation inside the pipe and the average lateral velocity of the liquid The corresponding table model can be used to obtain the pipeline blockage index through the average liquid horizontal velocity data. , and then issue an early warning of the internal situation of the pipeline. For example, a congestion index threshold is set. If the actual congestion index exceeds the congestion index threshold, an early warning of the internal situation of the pipeline is issued.

[0037] Although the blockage index can be directly calculated using the blockage index calculation formula, most on-site pipelines are ordinary pipes, not transparent pipes. Therefore, a corresponding table model can be developed to compare the blockage index with the degree of sedimentation and the average horizontal flow velocity of the fluid. The actual blockage index can then be determined based on this corresponding table model and the actual average horizontal flow velocity of the fluid.

[0038] Finally, the blockage index model was applied to an on-site pipeline transportation site, where all transparent plastic pipes had been replaced with standard on-site pipes. Sensor 2 was installed at sensor installation location 8 on the target pipeline to collect data on the average flow rate of the inhibitor solution 1 flowing within the delivery pipeline 9. Transmitter 3 converted the nonstandard electrical signals captured by sensor 2 into a standardized electrical signal format. These signals were then transmitted to data collector 4. Server 5 received the data collected by data collector 4 and analyzed it based on the previously established correspondence table model to determine the actual blockage index within the pipeline. This was used to monitor the pipeline's operating status and reflect the state of the deposits 10 within the pipeline. Furthermore, changes within the pipeline were visualized on monitor 6, providing a more intuitive understanding of the pipeline's real-time status, ensuring smooth spraying of the inhibitor solution from spray gun 7 and application to the silicon steel coil.

[0039] The pipeline monitoring system integrates cutting-edge sensor technology and data analysis capabilities to continuously monitor the operating status of the pipeline, provide early warning of potential blockage risks, and propose specific solutions.

[0040] It should be noted that the steps shown in the above process or the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0041] In addition, combined Figure 1 and Figure 2 The method for detecting the transportation status of silicon steel inhibitor in a pipeline according to the embodiment of the present application can be implemented by a computer device. Figure 3 Schematic diagram of the hardware structure of the computer device of the embodiment of the present application. Figure 3 As shown, the device may include a processor 301 and a memory 302 storing computer program instructions.

[0042] Specifically, the processor 301 may include a central processing unit (CPU), or an application-specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0043] Memory 302 may include a large-capacity memory for data or instructions. By way of example, and not limitation, memory 302 may include a hard disk drive (HDD), a floppy disk drive, a solid-state drive (SSD), flash memory, an optical disk, a magneto-optical disk, magnetic tape, or a Universal Serial Bus (USB) drive, or a combination of two or more of these. Where appropriate, memory 302 may include removable or non-removable (or fixed) media. Where appropriate, memory 302 may be internal or external to the data processing device. In certain embodiments, memory 302 is non-volatile memory. In certain embodiments, memory 302 includes read-only memory (ROM) and random access memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (EEPROM), an electrically alterable ROM (EAROM) or a flash memory (FLASH), or a combination of two or more of these. Under appropriate circumstances, the RAM can be a static random access memory (SRAM) or a dynamic random access memory (DRAM), where the DRAM can be a fast page mode dynamic random access memory (FPMDRAM), an extended data out dynamic random access memory (EDODRAM), a synchronous dynamic random access memory (SDRAM), etc.

[0044] The memory 302 may be used to store or cache various data files that need to be processed and / or used for communication, as well as possible computer program instructions executed by the processor 301 .

[0045] The processor 301 reads and executes computer program instructions stored in the memory 302 to implement any one of the methods for detecting the transportation status of silicon steel inhibitor in a pipeline in the above embodiments.

[0046] In some embodiments, the computer device may further include a communication interface 303 and a bus 300. Figure 3 As shown, the processor 301 , the memory 302 , and the communication interface 303 are connected via a bus 300 and communicate with each other.

[0047] The communication interface 303 is used to implement communication between the various modules, devices, units, and / or devices in the embodiments of the present application. The communication interface 303 can also implement data communication with other components such as: external devices, image / data acquisition equipment, databases, external storage, and image / data processing workstations.

[0048] Bus 300 includes hardware, software, or both, and couples components of a computer device to each other. Bus 300 includes, but is not limited to, at least one of the following: a data bus, an address bus, a control bus, an expansion bus, and a local bus. By way of example, and not limitation, bus 300 may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industry Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a memory bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses, or a combination of two or more of these. Bus 300 may include one or more buses, where appropriate. Although embodiments herein describe and illustrate a particular bus, this application contemplates any suitable bus or interconnect.

[0049] The computer device can execute the detection method of the silicon steel inhibitor transportation condition in the pipeline in the embodiment of the present application, thereby realizing the combination Figure 1 and Figure 2 The present invention describes a method for detecting the transport condition of silicon steel inhibitors in pipelines.

[0050] In addition, in conjunction with the method for detecting the transport status of a silicon steel inhibitor within a pipeline in the above-mentioned embodiments, embodiments of the present application may provide a computer-readable storage medium for implementation. The computer-readable storage medium stores computer program instructions; when executed by a processor, the computer program instructions implement any of the methods for detecting the transport status of a silicon steel inhibitor within a pipeline in the above-mentioned embodiments.

[0051] It should be noted that the various technical features of the above-described embodiments can be combined in any manner. To simplify the description, not all possible combinations of the various technical features in the above-described embodiments are described. However, as long as there are no contradictions in the combination of these technical features, they should be considered to be within the scope of this specification. In addition, according to the needs of implementation, the various steps / components described in this application can be split into more steps / components, and two or more steps / components or partial operations of steps / components can be combined into new steps / components to achieve the purpose of the present invention.

[0052] Those skilled in the art will readily understand that the above-described embodiments merely represent several implementation methods of the present application, and their descriptions are relatively specific and detailed, but should not be construed as limiting the scope of the invention. It should be noted that a person of ordinary skill in the art may make several variations and improvements without departing from the concept of the present application, and these variations and improvements fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be based on the appended claims.

Claims

1. A method for detecting the transportation status of silicon steel inhibitor in a pipeline, characterized in that: The method includes: Obtaining the fluid density, fluid viscosity, and average transverse velocity of the inhibitor in the target pipeline, and measuring the particle velocity in the fluid and the average diameter of the measured particles; wherein the particle velocity includes the particle transverse velocity and the particle longitudinal velocity; Based on the calculation formula of the blocking index, the blocking index is calculated by combining the fluid density, fluid viscosity, average lateral velocity of the fluid, particle velocity in the fluid, average diameter of the measured particles and the correction coefficient in the blocking index calculation formula; At the same time, the inhibitor precipitation degree in the target pipeline is obtained and compared with the blockage index trend. If the trends are inconsistent, the correction coefficient is adjusted until the two trends are consistent, and a corresponding table of the blockage index, precipitation degree, and horizontal average flow velocity of the fluid is formed. Determine an actual blockage index based on the correspondence table and the actual average transverse flow velocity of the fluid; The actual blockage index is used to provide early warning of inhibitor precipitation in the target pipeline.

2. The method for detecting the transportation status of silicon steel inhibitor in a pipeline according to claim 1, characterized in that: The target pipe was replaced with a transparent tube, and the particle velocity in the fluid was measured using a laser Doppler velocimeter.

3. The method for detecting the transportation status of silicon steel inhibitor in a pipeline according to claim 1, characterized in that: A plurality of sensors are arranged along the target pipeline to obtain the fluid transverse flow velocity of the inhibitor at different positions in the target pipeline, and the average value is calculated to obtain the fluid transverse average flow velocity.

4. The method for detecting the transportation status of silicon steel inhibitor in a pipeline according to claim 1, characterized in that: The calculation formula for the congestion index is: Where, is the congestion index, is the fluid density, is the fluid viscosity, and Respectively i The particle transverse velocity and particle longitudinal velocity of each particle, is the average diameter of the measured particles, is the number of particles measured, is the average transverse velocity of the fluid, 、 and a is the correction factor, is the transverse coefficient, is the longitudinal coefficient, a is the correction constant.

5. The method for detecting the transportation status of silicon steel inhibitor in a pipeline according to claim 1 or 4, characterized in that: The formula for calculating fluid viscosity is: Where, is the fluid viscosity, is the fluid density, is a constant, is the fluid kinetic energy, is the fluid dissipation rate, which is measured by laser Doppler velocimetry; The calculation formula for fluid kinetic energy is: Where, is the fluid kinetic energy, is the fluid density, is the change in the average transverse velocity of the fluid per unit time, is the unit time, is the total number of measurements.

6. The method for detecting the transportation status of silicon steel inhibitor in a pipeline according to claim 1, characterized in that: The degree of precipitation refers to the film thickness of the precipitation layer formed after the inhibitor is precipitated in the target pipeline; The correlation coefficient between the blocking index and the sedimentation degree was calculated to determine whether the trends were consistent.

7. The method for detecting the transportation status of silicon steel inhibitor in a pipeline according to claim 6, characterized in that: The correlation coefficient is the Pearson correlation coefficient; if the Pearson correlation coefficient exceeds the preset threshold, the trends are considered to be consistent.

8. The method for detecting the transportation status of silicon steel inhibitor in a pipeline according to claim 1, characterized in that: Use the actual blockage index to provide early warning of inhibitor precipitation in the target pipeline, including: Set a congestion index threshold. If the actual congestion index exceeds the congestion index threshold, an early warning will be issued.

9. A computer device, characterized in that: include: A processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the programs or instructions are executed by the processor, the steps of the method for detecting the transportation status of silicon steel inhibitors in a pipeline as described in any one of claims 1 to 8 are implemented.

10. A computer-readable storage medium, characterized in that Programs or instructions are stored thereon, and when the programs or instructions are executed by the processor, the steps of the method for detecting the transportation condition of silicon steel inhibitor in a pipeline as claimed in any one of claims 1 to 8 are implemented.

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