Coriolis flowmeter monitoring and early warning method, device, storage medium and electronic equipment

Abstract

The present application relates to a monitoring and early warning method, device, storage medium and electronic equipment for a Coriolis flowmeter, and relates to the field of flow monitoring technology, wherein the method includes: determining the normal flow range of the fluid to be measured at the target monitoring point based on various actual operating parameters, and judging whether the actual flow is within the normal flow range; when the actual flow is greater than the maximum value of the normal flow range, determining whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point, and when there is a target risk in the first pipe section, issuing an early warning of flow anomaly for the target monitoring point; when the actual flow is less than the minimum value of the normal flow range, determining whether there is a target risk in the second pipe section from the upstream monitoring point to the target monitoring point, and when there is a target risk in the second pipe section, issuing an early warning of flow anomaly for the target monitoring point. The present application has the effect of improving the accuracy of monitoring and early warning.

Description

Technical Field

[0001] The present application relates to the technical field of flow monitoring, and in particular to a monitoring and early warning method, device, storage medium, and electronic equipment for a Coriolis flowmeter. Background Art

[0002] A Coriolis flowmeter is a mass flowmeter based on the Coriolis effect and is widely used for measuring the flow of liquids and gases. It directly measures the mass flow of a fluid without relying on parameters such as density, temperature, or pressure. In industrial processes, accurate monitoring of fluid flow is crucial to ensuring product quality and safety. Coriolis flowmeter monitoring and early warning services involve real-time monitoring of fluid flow in pipelines. If flow anomalies occur, targeted early warnings are issued, allowing relevant personnel to take timely countermeasures and avoid accidents or losses.

[0003] Currently, the typical method for flow monitoring and early warning using a Coriolis flowmeter is to compare the fluid flow rate detected by the Coriolis flowmeter at the monitoring point with a preset fixed threshold. Once the flow rate exceeds the fixed threshold, an early warning of flow anomalies is issued. Because fluid flow can vary depending on operating conditions (such as temperature and pressure), changes in fluid operating conditions can cause normal flow fluctuations. Using a fixed threshold to determine flow anomalies can easily lead to misjudgments or omissions, resulting in poor monitoring and early warning accuracy. Summary of the Invention

[0004] In order to improve the accuracy of monitoring and early warning, the present application provides a monitoring and early warning method, device, storage medium and electronic equipment for a Coriolis flowmeter.

[0005] In a first aspect of the present application, a monitoring and early warning method for a Coriolis flowmeter is provided, specifically comprising:

[0006] Obtaining, by means of a Coriolis flowmeter, an actual flow rate of the fluid to be measured at a target monitoring point in a target pipeline and at least one actual operating condition parameter corresponding to the fluid to be measured at the target monitoring point, wherein the target monitoring point is a monitoring point in the target pipeline at which the flow rate of the fluid to be measured is monitored by the Coriolis flowmeter;

[0007] Based on the actual operating parameters, determining a normal flow range of the fluid to be measured at the target monitoring point, and judging whether the actual flow rate is within the normal flow range;

[0008] If the actual flow rate is not within the normal flow rate range, then when the actual flow rate is greater than the maximum value of the normal flow rate range, it is determined whether a target risk exists in the first pipe section from the target monitoring point to the downstream monitoring point, and when the target risk exists in the first pipe section, an early warning of flow abnormality is issued for the target monitoring point, the downstream monitoring point being the monitoring point closest to the target monitoring point downstream of the target monitoring point, and the target risk being the risk of the existence of a pipeline defect causing the flow abnormality;

[0009] When the actual flow rate is less than the minimum value of the normal flow rate range, determine whether there is a target risk in the second pipe section from the upstream monitoring point to the target monitoring point, and when the target risk exists in the second pipe section, issue a flow abnormality warning for the target monitoring point. The upstream monitoring point is the monitoring point closest to the target monitoring point upstream of the target monitoring point.

[0010] By adopting the above technical solution, after obtaining the actual flow rate and actual operating parameters, the normal flow rate range of the fluid to be measured under the influence of the corresponding operating conditions is determined based on the actual operating parameters, thereby taking into account the influence of the operating conditions on the flow rate, so as to more accurately determine whether the actual flow rate is abnormal. If the actual flow rate is not within the normal flow rate range, it means that the actual flow rate is likely to be abnormal. In order to further improve the accuracy of the abnormality judgment, it is necessary to further verify the actual flow abnormality. If the actual flow rate is abnormally large, it may be caused by defects such as leakage and blockage in the downstream pipeline. Then, it is determined whether there is a target risk in the first pipe section. If there is a target risk, it means that there is an abnormality in the first pipe section that causes the flow abnormality, and then the actual flow is verified again to be abnormal, thereby improving the accuracy of the abnormality judgment. Then, a targeted warning is issued, thereby improving the accuracy of the monitoring and early warning; if the actual flow rate is abnormally small, it may be caused by defects such as leakage and blockage in the upstream pipeline. Then, when it is determined that there is a target risk in the second pipe section, a targeted warning is issued, thereby improving the accuracy of the monitoring and early warning.

[0011] In one embodiment, determining whether a target risk exists in a first pipe section from the target monitoring point to a downstream monitoring point specifically includes:

[0012] determining at least one key defect based on a plurality of first historical defects that induce flow abnormality when the fluid flow in the target pipeline is abnormal, wherein the key defect is a defect that is likely to induce flow abnormality;

[0013] Determine at least one corresponding key occurrence location from a plurality of pipeline locations where a single key defect has occurred, wherein the key occurrence location is a pipeline location where the single key defect is prone to occur;

[0014] Determining a first weight for each of the key defects and a second weight for a key occurrence location corresponding to each of the key defects, wherein the first weight represents the likelihood of the key defect inducing a flow anomaly, and the second weight represents the likelihood of a single key defect occurring at the key occurrence location;

[0015] It is determined whether a first pipe section from the target monitoring point to a downstream monitoring point has a target risk according to the first weight and the second weight.

[0016] In one embodiment, determining whether a first pipe section from the target monitoring point to a downstream monitoring point has a target risk based on the first weight and the second weight includes:

[0017] Determine the key occurrence locations contained in the first pipe section from the target monitoring point to the downstream monitoring point as the target occurrence locations; if there is at least one target occurrence location among the key occurrence locations corresponding to the key defects, determine the corresponding key defect as the target defect;

[0018] Calculating a first product of a first weight of each target defect and a second weight of each corresponding target occurrence position, and summing the first products to obtain a first summation result;

[0019] Comparing the first summation result with a preset first threshold value, and if the first summation result is greater than the first threshold value, determining that a target risk exists in the first pipe section from the target monitoring point to the downstream monitoring point;

[0020] If the first summation result is not greater than the first threshold, it is determined that the first pipe section from the target monitoring point to the downstream monitoring point does not have a target risk.

[0021] In one embodiment, the method further comprises:

[0022] When the target risk exists in the first pipe section, determining a downstream normal flow range corresponding to the downstream monitoring point based on the downstream operating condition parameters of the downstream monitoring point;

[0023] Comparing the measured flow rate of the downstream monitoring point with the minimum value of the downstream normal flow rate range, and if the measured flow rate is less than the minimum value of the downstream normal flow rate range, verifying that the first pipe section has the target risk;

[0024] If the measured flow rate is not less than the minimum value of the downstream normal flow rate range, it is determined that the downstream normal flow rate range is incorrect.

[0025] In one embodiment, the method further comprises:

[0026] When the first pipe section does not have the target risk, determining at least one major defect based on a plurality of second historical defects that occurred when the fluid flow in the target pipeline was normal, wherein the major defect is a defect in the target pipeline that is not likely to cause flow abnormality;

[0027] Determine at least one corresponding important occurrence location from a plurality of historical pipeline locations where a single important defect has occurred, wherein the important occurrence location is a historical pipeline location where the single important defect is prone to occur;

[0028] Determining a first weight for each of the major defects and a second weight for the major occurrence location corresponding to each of the major defects, wherein the first weight represents the likelihood of a major defect occurring when no flow abnormality occurs in the target pipeline, and the second weight represents the likelihood of a single major defect occurring at the major occurrence location;

[0029] The existence of the target risk in the first pipe section is verified based on the first weight and the second weight.

[0030] In one embodiment, verifying the existence of the target risk in the first pipe section according to the first weight and the second weight specifically includes:

[0031] Determine the important occurrence positions contained in the first pipe segment as reference occurrence positions, and if there is at least one reference occurrence position among the important occurrence positions corresponding to the important defects, determine the corresponding important defects as reference defects;

[0032] Calculating a second product of the first weight of each reference defect and the second weight of each corresponding reference occurrence position, and summing the second products to obtain a second summation result;

[0033] If the second summation result is greater than the first summation result, comparing the second summation result with a preset second threshold;

[0034] If the second summation result is greater than the second threshold, it is verified that no target risk exists in the first pipe section.

[0035] In one embodiment, the method further comprises:

[0036] If the sum of the second products corresponding to the same reference defect exceeds a preset third threshold, the corresponding reference defect is determined as a defect to be concerned, and the easily evolved defect and evolution coefficient corresponding to each defect to be concerned are determined. The larger the evolution coefficient, the more likely the defect to be concerned is to evolve into the corresponding easily evolved defect.

[0037] When the easily evolving defect is a key defect, the corresponding easily evolving defect is determined as a warning defect; if at least one key occurrence location corresponding to the warning defect is in the first pipe section, the corresponding key occurrence location is determined as a warning occurrence location;

[0038] Calculating a third product of the first weight of each of the alert defects and the second weight of the corresponding alert occurrence locations, summing the third products to obtain a third summed result of the corresponding alert defect, and multiplying the third summed result by a corresponding evolution coefficient to obtain a corresponding corrected result;

[0039] The corrected results are summed to obtain a final result, and the monitoring priority of the Coriolis flowmeter corresponding to the first pipe section is determined based on the final result. The larger the final result, the higher the corresponding monitoring priority.

[0040] In a second aspect of the present application, a monitoring and early warning device for a Coriolis flowmeter is provided, specifically comprising:

[0041] a data acquisition module, configured to acquire, through a Coriolis flowmeter, an actual flow rate of a fluid to be measured at a target monitoring point in a target pipeline and at least one actual operating condition parameter corresponding to the fluid to be measured at the target monitoring point, wherein the target monitoring point is a monitoring point in the target pipeline at which the flow rate of the fluid to be measured is monitored by the Coriolis flowmeter;

[0042] an abnormality judgment module, configured to determine a normal flow range of the fluid to be measured at the target monitoring point based on each of the actual operating condition parameters, and to judge whether the actual flow rate is within the normal flow range;

[0043] a first early warning module, configured to, if the actual flow rate is not within the normal flow rate range, determine whether a target risk exists in a first pipe section from the target monitoring point to a downstream monitoring point when the actual flow rate is greater than a maximum value of the normal flow rate range, and issue an early warning of a flow abnormality for the target monitoring point when the target risk exists in the first pipe section, wherein the downstream monitoring point is the monitoring point closest to the target monitoring point downstream of the target monitoring point, and the target risk is the risk of a pipeline defect causing the flow abnormality;

[0044] The second early warning module is used to determine whether there is a target risk in the second pipe section from the upstream monitoring point to the target monitoring point when the actual flow is less than the minimum value of the normal flow range, and to issue a flow abnormality early warning for the target monitoring point when the target risk exists in the second pipe section. The upstream monitoring point is the monitoring point closest to the target monitoring point upstream of the target monitoring point.

[0045] By adopting the above technical solution, after the data acquisition module obtains the actual flow and actual operating parameters, the abnormality judgment module determines whether the actual flow is within the normal flow range. Then, when the actual flow is greater than the maximum value of the normal flow range, the first early warning module determines whether there is a target risk in the first pipe section, and issues a targeted early warning of flow abnormality when the actual flow is greater than the maximum value of the normal flow range. Finally, when the actual flow is less than the minimum value of the normal flow range, it determines whether there is a target risk in the second pipe section, and issues a targeted early warning of flow abnormality when the actual flow is less than the minimum value of the normal flow range.

[0046] In a third aspect of the present application, a computer-readable storage medium is provided, in which a computer program is stored. When the computer program is loaded and executed by a processor, the method steps as described in any one of the first aspects are performed.

[0047] In a fourth aspect of the present application, an electronic device is provided, specifically comprising:

[0048] A processor, a memory, and a computer program stored in the memory and capable of running on the processor, wherein the processor is used to load and execute the computer program stored in the memory so that the electronic device performs the method as described in any one of the first aspects.

[0049] In summary, the present application includes at least one of the following beneficial technical effects: based on the actual operating parameters, the normal flow range of the fluid to be measured under the influence of the corresponding operating conditions is determined, thereby taking into account the influence of the operating conditions on the flow, so as to more accurately judge whether the actual flow is abnormal. If the actual flow is not in the normal flow range, it means that the actual flow is likely to be abnormal. In order to further improve the accuracy of the abnormal judgment, it is necessary to further verify the actual flow abnormality. If the actual flow abnormality is too large, it may be caused by defects such as leakage and blockage in the downstream pipeline. Then, it is judged whether there is a target risk in the first pipe section. If there is a target risk, it means that there is an abnormality in the first pipe section that causes the flow abnormality, and then the actual flow is verified again to be abnormal, thereby improving the accuracy of the abnormal judgment. Then, a targeted warning is issued, thereby improving the accuracy of the monitoring warning; if the actual flow abnormality is too small, it may be caused by defects such as leakage and blockage in the upstream pipeline. Then, when it is determined that there is a target risk in the second pipe section, a targeted warning is issued, thereby improving the accuracy of the monitoring warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 1 is a flow chart of a monitoring and early warning method for a Coriolis flowmeter provided in an embodiment of the present application;

[0051] Figure 2 1 is a schematic structural diagram of a monitoring and early warning device for a Coriolis flowmeter provided in an embodiment of the present application;

[0052] Figure 3 It is a structural diagram of another monitoring and early warning device for a Coriolis flowmeter provided in an embodiment of the present application.

[0053] Explanation of the accompanying drawings: 11. Data acquisition module; 12. Abnormality judgment module; 13. First early warning module; 14. Second early warning module; 15. First verification module; 16. Second verification module; 17. Flow monitoring module. DETAILED DESCRIPTION

[0054] In order to enable people skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described embodiments are only part of the embodiments of this application, not all of the embodiments.

[0055] In the description of the embodiments of this application, words such as "exemplarily," "for example," or "for example" are used to indicate examples, illustrations, or explanations. Any embodiment or design described as "exemplarily," "for example," or "for example" in the embodiments of this application should not be construed as being preferred or advantageous over other embodiments or designs. Rather, the use of words such as "exemplarily," "for example," or "for example" is intended to present the relevant concepts in a concrete manner.

[0056] In the description of the embodiments of the present application, the term "and / or" is merely a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, B exists alone, and A and B exist at the same time. In addition, unless otherwise specified, the term "multiple" means two or more. For example, multiple systems refer to two or more systems, and multiple screen terminals refer to two or more screen terminals. In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include one or more of the features. The terms "include", "comprise", "have" and their variations all mean "including but not limited to", unless otherwise specifically emphasized.

[0057] See also Figure 1 The present application discloses a flowchart of a Coriolis flowmeter monitoring and early warning method, which can be implemented using a computer program or run on a Coriolis flowmeter monitoring and early warning device based on the von Neumann architecture. The computer program can be integrated into an application or run as a standalone tool application, specifically including:

[0058] S101: Obtaining, by a Coriolis flowmeter, an actual flow rate of a fluid to be measured at a target monitoring point in a target pipeline and at least one actual operating condition parameter corresponding to the fluid to be measured at the target monitoring point.

[0059] Specifically, the target pipeline is the pipeline currently undergoing fluid flow monitoring, and the fluid to be measured is the fluid flowing in the target pipeline. Multiple monitoring points are set in the target pipeline, and each monitoring point is preset with a Coriolis flowmeter to monitor the flow of the fluid to be measured in real time, thereby comprehensively monitoring the flow changes in the target pipeline and providing guarantees for the stable operation of the target pipeline. The target monitoring point is a monitoring point in the target pipeline that monitors the flow of the fluid to be measured by a Coriolis flowmeter. The actual operating condition parameters are key physical quantities that describe the flow state and thermodynamic state of the fluid to be measured at the target monitoring point, which will affect the flow rate of the fluid to be measured. In an embodiment of the present application, the actual operating condition parameters are the temperature and pressure of the fluid to be measured at the target monitoring point.

[0060] The embodiment of the present application discloses a method for monitoring and early warning of a Coriolis flowmeter, the execution subject of which is a server, which is wirelessly connected to a terminal, a temperature sensor, a pressure sensor, and a Coriolis flowmeter. The terminal is a smart phone or a personal computer, and a client related to flow monitoring is installed in the terminal. The server is a background server of the client, which can be an independent physical server or a cluster composed of multiple physical servers. When personnel need to monitor the flow of a target pipeline, a start instruction is sent to the server through the client in the terminal. Based on this start instruction, the server obtains the actual flow of the fluid to be measured in the target monitoring point through the Coriolis flowmeter preset at the target monitoring point. Furthermore, at least one actual working condition parameter corresponding to the fluid to be measured in the target monitoring point, namely, temperature and pressure, is obtained through the temperature sensor and pressure sensor preset at the target monitoring point.

[0061] S102: Based on various actual working condition parameters, determine the normal flow range of the fluid to be measured at the target monitoring point, and judge whether the actual flow is within the normal flow range.

[0062] Specifically, after each actual operating condition parameter is determined, each actual operating condition parameter is input into a preset normal flow prediction model to obtain the normal flow range of the fluid to be measured at the target monitoring point, wherein the normal flow prediction model is a trained support vector machine or decision tree model, and the training process is briefly described as follows: at least one set of operating condition parameter samples marked with the normal flow range of the fluid to be measured is input into the model for training, and during the process, constrained training is performed through the cross entropy loss function, and the model parameters are adjusted through the reverse gradient algorithm until the model converges to obtain a normal flow prediction model, which has the ability to predict the normal flow range of the fluid to be measured under specific working conditions. This is a prior art and will not be repeated here. It should be noted that the normal flow range of the fluid to be measured is different under different working conditions. For example, the normal flow range f1 of the fluid to be measured under the working conditions of temperature a1 and pressure p1 is different from the normal flow range f2 under the working conditions of temperature a2 and pressure p2.

[0063] Finally, it is determined whether the actual flow rate is within the normal flow rate range, so as to more accurately determine whether the flow rate of the fluid to be measured at the target monitoring point is abnormal. Compared with the method of judging whether the flow rate is abnormal based on a fixed threshold, it is more accurate and can provide accurate and timely warnings for flow abnormalities, avoiding the problem of false triggering of warnings or missed reporting of abnormalities.

[0064] S103: If the actual flow rate is not within the normal flow rate range, then when the actual flow rate is greater than the maximum value of the normal flow rate range, determine whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point, and when there is a target risk in the first pipe section, issue a flow abnormality warning for the target monitoring point.

[0065] Specifically, the downstream monitoring point is the monitoring point closest to the target monitoring point downstream of the target monitoring point. If the actual flow rate is not within the normal flow rate range, it indicates that the flow of the measured fluid may be abnormal and requires further verification to ensure the accuracy of subsequent warnings regarding flow anomalies. The actual flow rate is then compared with the maximum value of the normal flow rate range (the end value of the normal flow rate range). If the actual flow rate is greater than the maximum value of the normal flow rate range, it indicates that the flow anomaly of the measured fluid is excessive, most likely due to a defect in the pipeline downstream of the target monitoring point, such as a blockage, damage, or leak. A target risk is then determined in the first pipe section from the target monitoring point to the downstream monitoring point. The target risk is the risk of a pipeline defect causing flow anomalies. One feasible method for determining this risk is to obtain multiple first historical defects that caused flow anomalies in the target pipeline based on first defect occurrence records cached in a database. The number of recurrences of a single first historical defect among all first historical defects is counted. If the number of recurrences exceeds a preset threshold, the corresponding first historical defect is determined as a key defect, i.e., a defect that is likely to induce flow anomalies in the target pipeline. Furthermore, based on the first defect occurrence record, multiple pipeline locations where a single key defect has occurred are obtained, and the number of recurrences of a single pipeline location among all pipeline locations is counted. If the number of recurrences exceeds a preset threshold, the corresponding pipeline location is determined as the key occurrence location corresponding to the key defect, i.e., the pipeline location where the key defect is likely to occur. The first defect occurrence record includes, but is not limited to, information such as defects that caused flow anomalies and their corresponding occurrence locations in historical flow monitoring.

[0066] Furthermore, a first weight is determined for each key defect, and a second weight is determined for the key location corresponding to each key defect. The first weight is the ratio of the number of recurrences of each key defect to the sum of the number of recurrences of all key defects, representing the likelihood that the key defect will induce a flow anomaly. The second weight is the ratio of the number of recurrences of a single key location corresponding to the key defect to the sum of the number of recurrences of all key locations corresponding to the key defect, representing the likelihood of a single key defect occurring at the key location.

[0067] Furthermore, based on the first and second weights, a determination is made as to whether the first pipe section has a target risk. One achievable implementation involves identifying key locations within the first pipe section from the target monitoring point to the downstream monitoring point as target locations. If at least one target location exists among the key locations corresponding to a key defect, the corresponding key defect is determined as a target defect. Next, a first product is calculated for each target defect's first weight and the corresponding second weight of each target location. The larger the first product, the greater the likelihood that the target defect will occur at the corresponding target location when a flow anomaly occurs. Each first product is summed to obtain a first summation result. The larger the first summation result, the greater the overall likelihood of the first pipe section having a key defect, and the more likely it is to have a target risk. Finally, if the first summation result exceeds a first threshold, the overall likelihood of the first pipe section having a key defect is high, and the first pipe section is determined to have a target risk. Conversely, if the first summation result does not exceed the first threshold, the first pipe section is determined to not have a target risk. In other embodiments, the first products corresponding to the same target defect are summed to obtain a summation result, and the maximum summation result among the summation results is selected. If the target defect corresponding to the maximum summation result is a preset defect, it is verified again that the flow anomaly at the target monitoring point is caused by a defect in the first pipe section. The preset defect is a defect that easily causes excessive flow in the upstream area, including but not limited to leakage defects, blockage defects, and breakage defects. For example, if there is a leakage defect in the first pipe section, the flow at the target monitoring point upstream of the leakage defect will be abnormally large, and the flow at the downstream monitoring point downstream of the leakage defect will be abnormally small. The upstream flow of the leakage defect is large because part of the fluid is lost from the leakage point, and the system needs to compensate for the leakage loss by increasing the upstream flow. The downstream flow of the leakage defect is small because part of the fluid has already lost from the leakage point, resulting in insufficient downstream flow.

[0068] Finally, if there is a target risk in the first pipe section, it is necessary to verify again that the actual flow at the target monitoring point is indeed abnormal, which will improve the accuracy of subsequent abnormal warnings to a certain extent and reduce the risk of false alarms and missed alarms. Then, an abnormal flow warning will be sent to the terminal for the target monitoring point, reminding personnel to go and investigate in time.

[0069] In other embodiments, if it is determined that there is a target risk in the first pipe section, it means that the abnormal flow rate at the target monitoring point is highly likely caused by a preset defect in the first pipe section. Then, the downstream operating condition parameters are obtained through the preset temperature sensor and pressure sensor in the downstream monitoring point, and the downstream operating condition parameters are input into the normal flow prediction model to obtain the corresponding downstream normal flow range. At the same time, the measured flow rate is obtained through the preset Coriolis flowmeter in the downstream monitoring point. If the measured flow rate is less than the minimum value of the downstream normal flow range, it means that the flow rate at the downstream monitoring point is abnormally small. The flow monitoring data of the target monitoring point and the flow monitoring data of the downstream monitoring point are mutually verified, which once again proves that the flow abnormality at the target monitoring point does exist. At the same time, the flow abnormality at the downstream monitoring point can be discovered in a timely and accurate manner, and the type of defect in the first pipe section can be quickly identified.

[0070] On the premise that it is confirmed that the abnormal flow at the target monitoring point is caused by a defect in the first pipeline, under normal circumstances, the measured flow should be abnormally small. If the measured flow is not less than the minimum value of the normal flow range downstream, then it means that the normal flow range downstream is most likely incorrect and needs to be re-determined, so as to realize the verification of the normal flow range downstream.

[0071] In another embodiment, when the target risk does not exist in the first pipeline section, based on the second defect occurrence record, multiple second historical defects that occurred when the flow in the target pipeline was normal are obtained. The first occurrence frequencies of individual second historical defects among all second historical defects are counted. Then, in descending order of first occurrence frequencies, a first number of second historical defects are selected from each of the second historical defects and determined as significant defects, i.e., defects that are unlikely to cause flow abnormalities in the target pipeline. Furthermore, based on the aforementioned second defect occurrence record, multiple historical pipeline locations where a single significant defect occurred are obtained. The second occurrence frequencies of individual historical pipeline locations among all historical pipeline locations are counted. Then, in descending order of second occurrence frequencies, a second number of historical pipeline locations are selected from each of the historical pipeline locations and determined as significant occurrence locations corresponding to the significant defect, i.e., historical pipeline locations where a single significant defect is likely to occur. The second defect occurrence record includes, but is not limited to, information such as defects that did not cause flow abnormalities during historical flow monitoring and their corresponding occurrence locations.

[0072] Furthermore, a first weight is determined for each important defect, and a second weight is determined for the important occurrence location corresponding to each important defect. The first weight is the ratio of the first occurrence frequency of each important defect to the sum of the first occurrence frequencies of all important defects, and the second weight is the ratio of the second occurrence frequency of a single important occurrence location corresponding to the important defect to the sum of the second occurrence frequencies of all corresponding important occurrence locations. The first weight represents the possibility of an important defect occurring when there is no abnormal flow in the target pipeline, and the second weight represents the possibility of a single important defect occurring at an important occurrence location. Finally, based on the first weight and the second weight, the existence of the target risk in the first pipe section is verified. A feasible implementation method is:

[0073] The important occurrence locations contained in the first pipe section are determined as reference occurrence locations. If at least one reference occurrence location exists among the important occurrence locations corresponding to the important defects, then the corresponding important defects are determined as reference defects. Next, the second product of the first weight of each reference defect and the second weight of the corresponding reference occurrence location is calculated. The larger the second product, the greater the probability that the corresponding reference occurrence location does not cause a reference defect with abnormal flow. The second products are summed to obtain a second summation result. The larger the second summation result, the greater the overall probability of defects that do not cause abnormal flow in the entire first pipe section, and the less likely it is to cause abnormal flow. Then, if the second summation result is greater than the first summation result, it means that the overall probability of defects that do not cause abnormal flow in the first pipe section is higher than the overall probability of defects that cause abnormal flow. If the second summation result is greater than the preset second threshold, then the target risk is verified to be absent in the first pipe section, and it can also be confirmed that there is a high probability of defects that do not cause abnormal flow in the first pipe section. For example, important defects can be the peeling of the anti-corrosion coating inside the pipeline, non-penetrating cracks, surface pores, scratches, etc.

[0074] Furthermore, if the sum of the second products corresponding to the same reference defect exceeds a preset third threshold, indicating that the probability of the reference defect occurring in the first pipe section is greater, the corresponding reference defect is determined as a defect to be monitored, and then the easily evolved defect and evolution coefficient corresponding to each defect to be monitored are determined. The larger the evolution coefficient, the more likely the defect to be monitored is to evolve into the corresponding easily evolved defect. Specifically, the easily evolved defect and evolution coefficient corresponding to the defect to be monitored are determined using a preset matching table. The matching table includes different reference defects and corresponding easily evolved defects and evolution coefficients. The number of recurring single historical defects in the various historical defects evolved from the reference defect can be counted. If the number exceeds a preset number threshold, the corresponding historical defect is determined as the easily evolved defect corresponding to the reference defect, and the ratio of the number of recurring single easily evolved defects corresponding to the reference defect to the number of recurring all corresponding easily evolved defects is determined as the evolution coefficient. The easily evolved defect is the final defect that the reference defect in the pipeline is likely to evolve into over time. For example, the defect to be paid attention to is a scratch. As the corrosion at the scratch expands, the defect is likely to evolve into a corrosion leak.

[0075] Furthermore, when an easily evolving defect is a key defect, the corresponding easily evolving defect is identified as a warning defect. If at least one key occurrence location corresponding to the warning defect is in the first pipe segment, the corresponding key occurrence location is identified as a warning occurrence location. Next, the third product of the first weight of each warning defect and the second weight of each corresponding warning occurrence location is calculated. The larger the third product, the more likely the warning defect is to occur at the corresponding warning occurrence location, causing flow anomalies. The third products are then summed to obtain a third summed result for the corresponding warning defect. The larger the third summed result, the greater the overall likelihood of the warning defect occurring in the entire first pipe segment, causing flow anomalies. The third summed result is then multiplied by the corresponding evolution coefficient to obtain a corrected result for the corresponding warning defect. Finally, the corrected results are summed to obtain a final result. Furthermore, based on the final result, the monitoring priority of the Coriolis flowmeter corresponding to the first pipe segment is determined. The larger the final summed result, the more likely the first pipe segment is to evolve defects that cause flow anomalies, and the higher the corresponding monitoring priority, the more prioritized flow monitoring of the first pipe segment using the Coriolis flowmeter is, allowing for timely detection of flow anomalies.

[0076] In another embodiment, if the actual flow rate is within the normal flow rate range, the weight product of the first weight of each key defect and the second weight of the corresponding key occurrence location is calculated, and the weight products corresponding to the same key occurrence location are summed to obtain the sum of the weight products. If the sum of the weight products exceeds a preset threshold, it indicates that there is a high possibility that a key defect has occurred at the corresponding key occurrence location in the target pipeline, causing a process abnormality. The target pipeline is likely to have a flow abnormality, which further indicates that the normal flow rate range is incorrect and needs to be re-determined. At the same time, based on the sum of the weight products, the defect troubleshooting order of the corresponding key occurrence location is determined. The larger the sum of the weight products, the higher the defect troubleshooting order. Finally, the defect troubleshooting order is sent to the troubleshooter's terminal, so as to quickly and accurately determine the cause of the flow abnormality.

[0077] S104: When the actual flow rate is less than the minimum value of the normal flow rate range, determine whether there is a target risk in the second pipe section from the upstream monitoring point to the target monitoring point, and when there is a target risk in the second pipe section, issue a flow abnormality warning for the target monitoring point.

[0078] Specifically, the upstream monitoring point is the monitoring point upstream of the target monitoring point that is closest to the target monitoring point. If the actual flow rate is less than the minimum value of the normal flow rate range, it means that the flow anomaly of the fluid to be measured is too small (abnormally small), and it is likely that there is a defect in the pipeline upstream of the target monitoring point, such as blockage, breakage or leakage. Then, it is determined whether the second pipe section from the upstream monitoring point to the target monitoring point has a target risk. The specific determination logic can be found in step S103 and will not be repeated here. If the second pipe section has a target risk, it means that the target monitoring point does have a flow anomaly, and then a flow anomaly warning is issued to the terminal for the target monitoring point.

[0079] The implementation principle of the monitoring and early warning method of the Coriolis flowmeter in the embodiment of the present application is as follows: based on the actual working condition parameters, the normal flow range of the fluid to be measured under the influence of the corresponding working condition is determined, thereby taking into account the influence of the working condition on the flow, so as to more accurately judge whether the actual flow is abnormal. If the actual flow is not within the normal flow range, it means that the actual flow is likely to be abnormal. In order to further improve the accuracy of the abnormal judgment, it is necessary to further verify the actual flow abnormality. If the actual flow is abnormally large, it may be caused by defects such as leakage and blockage in the downstream pipeline. Then, it is determined whether there is a target risk in the first pipe section. If there is a target risk, it means that there is an abnormality in the first pipe section that causes the flow abnormality, and then the actual flow is verified again to be abnormal, thereby improving the accuracy of the abnormal judgment. Then, a targeted early warning is issued, thereby improving the accuracy of the monitoring and early warning; if the actual flow is abnormally small, it may be caused by defects such as leakage and blockage in the upstream pipeline. Then, when it is determined that there is a target risk in the second pipe section, a targeted early warning is issued, thereby improving the accuracy of the monitoring and early warning.

[0080] The following are device embodiments of the present application, which can be used to implement the method embodiments of the present application. For details not disclosed in the device embodiments of the present application, please refer to the method embodiments of the present application.

[0081] See Figure 2 , which is a schematic diagram of the structure of a monitoring and early warning device for a Coriolis flowmeter according to an embodiment of the present application. This monitoring and early warning device for a Coriolis flowmeter can be implemented as all or part of the device through software, hardware, or a combination of both. The device includes a data acquisition module 11, an abnormality determination module 12, a first early warning module 13, and a second early warning module 14.

[0082] A data acquisition module 11 is configured to acquire, through a Coriolis flowmeter, an actual flow rate of a fluid to be measured at a target monitoring point in a target pipeline and at least one actual operating condition parameter corresponding to the fluid to be measured at the target monitoring point. The target monitoring point is a monitoring point in the target pipeline at which the flow rate of the fluid to be measured is monitored by the Coriolis flowmeter.

[0083] The abnormality judgment module 12 is used to determine the normal flow range of the fluid to be measured at the target monitoring point based on various actual working condition parameters, and to judge whether the actual flow rate is within the normal flow range;

[0084] The first early warning module 13 is configured to, if the actual flow rate is not within the normal flow rate range, determine whether a target risk exists in the first pipe section from the target monitoring point to the downstream monitoring point when the actual flow rate is greater than the maximum value of the normal flow rate range, and issue an early warning of flow abnormality for the target monitoring point when the target risk exists in the first pipe section, where the downstream monitoring point is the monitoring point closest to the target monitoring point downstream of the target monitoring point, and the target risk is the risk of the presence of a pipeline defect that causes the flow abnormality;

[0085] The second early warning module 14 is used to determine whether there is a target risk in the second pipe section from the upstream monitoring point to the target monitoring point when the actual flow rate is less than the minimum value of the normal flow rate range, and to issue a flow abnormality early warning for the target monitoring point when there is a target risk in the second pipe section. The upstream monitoring point is the monitoring point closest to the target monitoring point upstream of the target monitoring point.

[0086] Optionally, the first early warning module 13 is specifically configured to:

[0087] Determining at least one key defect based on a plurality of first historical defects that induce flow abnormality when the fluid flow in the target pipeline is abnormal, where the key defect is a defect that is likely to induce flow abnormality;

[0088] Determine at least one corresponding key occurrence location from multiple pipeline locations where a single key defect has occurred, where the key occurrence location is a pipeline location where the single key defect is prone to occur;

[0089] Determine the first weight of each key defect and the second weight of the key location corresponding to each key defect. The first weight represents the possibility of the key defect inducing flow anomaly, and the second weight represents the possibility of a single key defect occurring at the key location.

[0090] According to the first weight and the second weight, it is determined whether a first pipe section from the target monitoring point to the downstream monitoring point has a target risk.

[0091] Optionally, the first early warning module 13 is specifically configured to:

[0092] Determine the key occurrence locations contained in the first pipe section from the target monitoring point to the downstream monitoring point as the target occurrence locations. If there is at least one target occurrence location among the key occurrence locations corresponding to the key defect, determine the corresponding key defect as the target defect.

[0093] Calculating a first product of a first weight of each target defect and a second weight of each corresponding target occurrence position, and summing the first products to obtain a first summation result;

[0094] Comparing the first summation result with a preset first threshold value, and if the first summation result is greater than the first threshold value, determining that the first pipe section from the target monitoring point to the downstream monitoring point has a target risk;

[0095] If the first summation result is not greater than the first threshold, it is determined that the first pipe section from the target monitoring point to the downstream monitoring point does not have the target risk.

[0096] Optional, such as Figure 3 As shown, the device further includes a first verification module 15, which is specifically configured to:

[0097] When there is a target risk in the first pipe section, the downstream normal flow range corresponding to the downstream monitoring point is determined based on the downstream operating condition parameters of the downstream monitoring point;

[0098] Compare the measured flow rate at the downstream monitoring point with the minimum value of the downstream normal flow rate range. If the measured flow rate is less than the minimum value of the downstream normal flow rate range, it is verified that the first pipe section has the target risk.

[0099] If the measured flow rate is not less than the minimum value of the downstream normal flow rate range, it is determined that the downstream normal flow rate range is incorrect.

[0100] Optionally, the device includes a second verification module 16, specifically configured to:

[0101] When there is no target risk in the first pipe section, at least one major defect is determined based on multiple second historical defects that occurred when the fluid flow in the target pipeline was normal. The major defect is a defect in the target pipeline that is unlikely to cause flow abnormality.

[0102] Determine at least one corresponding important occurrence location from a plurality of historical pipeline locations where a single important defect has occurred, where the important occurrence location is a historical pipeline location where a single important defect is prone to occur;

[0103] Determine a first weight for each major defect and a second weight for the major occurrence location corresponding to each major defect, wherein the first weight represents the likelihood of a major defect occurring when no flow anomalies occur in the target pipeline, and the second weight represents the likelihood of a single major defect occurring at the major occurrence location;

[0104] The existence of the target risk in the first pipe section is verified according to the first weight and the second weight.

[0105] Optionally, the second verification module 16 is specifically configured to:

[0106] Determine the important occurrence positions contained in the first pipe section as reference occurrence positions, and if there is at least one reference occurrence position among the important occurrence positions corresponding to the important defects, determine the corresponding important defects as reference defects;

[0107] Calculating a second product of the first weight of each reference defect and the second weight of each corresponding reference occurrence position, and summing the second products to obtain a second summation result;

[0108] If the second summation result is greater than the first summation result, comparing the second summation result with a preset second threshold;

[0109] If the second summation result is greater than the second threshold, it is verified that there is no target risk in the first pipe section.

[0110] Optionally, the device further includes a flow monitoring module 17, specifically configured to:

[0111] If the sum of the second products corresponding to the same reference defect exceeds a preset third threshold, the corresponding reference defect is determined as a defect to be concerned, and the easily evolved defect and evolution coefficient corresponding to each defect to be concerned are determined. The larger the evolution coefficient, the more likely the defect to be concerned will evolve into the corresponding easily evolved defect.

[0112] When the easily evolving defect is a key defect, the corresponding easily evolving defect is determined as a warning defect. If at least one key occurrence location corresponding to the warning defect is in the first pipe section, the corresponding key occurrence location is determined as a warning occurrence location.

[0113] Calculating a third product of the first weight of each alert defect and the second weight of each corresponding alert occurrence position, summing the third products to obtain a third summed result of the corresponding alert defect, and multiplying the third summed result by the corresponding evolution coefficient to obtain a corresponding corrected result;

[0114] The corrected results are summed to obtain a final result, and the monitoring priority of the Coriolis flowmeter corresponding to the first pipe section is determined based on the final result. The larger the final result, the higher the corresponding monitoring priority.

[0115] It should be noted that the aforementioned embodiment of a monitoring and early warning device for a Coriolis flowmeter, when implementing a monitoring and early warning method for a Coriolis flowmeter, only uses the division of the aforementioned functional modules as an example. In actual applications, the aforementioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above. In addition, the aforementioned embodiment of a monitoring and early warning device for a Coriolis flowmeter and the embodiment of a monitoring and early warning method for a Coriolis flowmeter are based on the same concept. The implementation process is detailed in the method embodiment and will not be repeated here.

[0116] An embodiment of the present application further discloses a computer-readable storage medium, and the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, a monitoring and early warning method for a Coriolis flowmeter of the above embodiment is implemented.

[0117] Among them, the computer program can be stored in a computer-readable medium, the computer program includes computer program code, the computer program code can be in the form of source code, object code, executable file or certain middleware, etc. The computer-readable medium includes any entity or device that can carry computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. It should be noted that computer-readable medium includes but is not limited to the above-mentioned components.

[0118] Among them, through this computer-readable storage medium, a monitoring and early warning method for a Coriolis flowmeter in the above embodiment is stored in a computer-readable storage medium, and is loaded and executed on a processor to facilitate the storage and application of the above method.

[0119] An embodiment of the present application further discloses an electronic device, wherein a computer program is stored in a computer-readable storage medium. When the computer program is loaded and executed by a processor, the above-mentioned monitoring and early warning method for a Coriolis flowmeter is implemented.

[0120] Among them, the electronic device can be an electronic device such as a desktop computer, a laptop computer or a cloud server, and the electronic device includes but is not limited to a processor and a memory. For example, the electronic device can also include input and output devices, network access devices and buses, etc.

[0121] Among them, the processor can adopt a central processing unit (CPU). Of course, according to actual usage, other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. can also be adopted. The general-purpose processor can adopt a microprocessor or any conventional processor, etc., and this application does not impose any restrictions on this.

[0122] Among them, the memory can be an internal storage unit of the electronic device, such as the hard disk or memory of the electronic device, or it can be an external storage device of the electronic device, such as a plug-in hard disk, smart memory card (SMC), secure digital card (SD) or flash memory card (FC) equipped on the electronic device. In addition, the memory can also be a combination of an internal storage unit and an external storage device of the electronic device. The memory is used to store computer programs and other programs and data required by the electronic device. The memory can also be used to temporarily store data that has been output or is to be output. This application does not impose any restrictions on this.

[0123] Among them, through this electronic device, a monitoring and early warning method for a Coriolis flowmeter of the above embodiment is stored in the memory of the electronic device, and is loaded and executed on the processor of the electronic device, which is convenient for use.

[0124] The above description is merely an exemplary embodiment of the present disclosure and is not intended to limit the scope of the present disclosure. That is, any equivalent changes and modifications made in accordance with the teachings of the present disclosure are still within the scope of the present disclosure. This application is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary technical means in the art that are not described in the present disclosure. The description and examples are to be regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A monitoring and early warning method for a Coriolis flowmeter, characterized in that: The method comprises: Obtaining, by means of a Coriolis flowmeter, an actual flow rate of the fluid to be measured at a target monitoring point in a target pipeline and at least one actual operating condition parameter corresponding to the fluid to be measured at the target monitoring point, wherein the target monitoring point is a monitoring point in the target pipeline at which the flow rate of the fluid to be measured is monitored by the Coriolis flowmeter; Based on the actual operating parameters, determining a normal flow range of the fluid to be measured at the target monitoring point, and judging whether the actual flow rate is within the normal flow range; If the actual flow rate is not within the normal flow rate range, then when the actual flow rate is greater than the maximum value of the normal flow rate range, it is determined whether a target risk exists in the first pipe section from the target monitoring point to the downstream monitoring point, and when the target risk exists in the first pipe section, an early warning of flow abnormality is issued for the target monitoring point, the downstream monitoring point being the monitoring point closest to the target monitoring point downstream of the target monitoring point, and the target risk being the risk of the existence of a pipeline defect causing the flow abnormality; When the actual flow rate is less than the minimum value of the normal flow rate range, determine whether there is a target risk in the second pipe section from the upstream monitoring point to the target monitoring point, and when the target risk exists in the second pipe section, issue a flow abnormality warning for the target monitoring point. The upstream monitoring point is the monitoring point closest to the target monitoring point upstream of the target monitoring point.

2. The monitoring and early warning method for a Coriolis flowmeter according to claim 1, characterized in that: Determining whether the first pipe section from the target monitoring point to the downstream monitoring point has a target risk specifically includes: determining at least one key defect based on a plurality of first historical defects that induce flow abnormality when the fluid flow in the target pipeline is abnormal, wherein the key defect is a defect that is likely to induce flow abnormality; Determine at least one corresponding key occurrence location from a plurality of pipeline locations where a single key defect has occurred, wherein the key occurrence location is a pipeline location where the single key defect is prone to occur; Determining a first weight for each of the key defects and a second weight for a key occurrence location corresponding to each of the key defects, wherein the first weight represents the likelihood of the key defect inducing a flow anomaly, and the second weight represents the likelihood of a single key defect occurring at the key occurrence location; It is determined whether a first pipe section from the target monitoring point to a downstream monitoring point has a target risk according to the first weight and the second weight.

3. The monitoring and early warning method for a Coriolis flowmeter according to claim 2, characterized in that: The determining, based on the first weight and the second weight, whether a first pipe section from the target monitoring point to the downstream monitoring point has a target risk includes: Determine the key occurrence locations contained in the first pipe section from the target monitoring point to the downstream monitoring point as the target occurrence locations; if there is at least one target occurrence location among the key occurrence locations corresponding to the key defects, determine the corresponding key defect as the target defect; Calculating a first product of a first weight of each target defect and a second weight of each corresponding target occurrence position, and summing the first products to obtain a first summation result; Comparing the first summation result with a preset first threshold value, and if the first summation result is greater than the first threshold value, determining that a target risk exists in the first pipe section from the target monitoring point to the downstream monitoring point; If the first summation result is not greater than the first threshold, it is determined that the first pipe section from the target monitoring point to the downstream monitoring point does not have a target risk.

4. The monitoring and early warning method for a Coriolis flowmeter according to claim 1, characterized in that: The method further comprises: When the target risk exists in the first pipe section, determining a downstream normal flow range corresponding to the downstream monitoring point based on the downstream operating condition parameters of the downstream monitoring point; Comparing the measured flow rate of the downstream monitoring point with the minimum value of the downstream normal flow rate range, and if the measured flow rate is less than the minimum value of the downstream normal flow rate range, verifying that the first pipe section has the target risk; If the measured flow rate is not less than the minimum value of the downstream normal flow rate range, it is determined that the downstream normal flow rate range is incorrect.

5. The monitoring and early warning method for a Coriolis flowmeter according to claim 3, characterized in that: The method further comprises: When the first pipe section does not have the target risk, determining at least one major defect based on a plurality of second historical defects that occurred when the fluid flow in the target pipeline was normal, wherein the major defect is a defect in the target pipeline that is not likely to cause flow abnormality; Determine at least one corresponding important occurrence location from a plurality of historical pipeline locations where a single important defect has occurred, wherein the important occurrence location is a historical pipeline location where the single important defect is prone to occur; Determining a first weight for each of the major defects and a second weight for the major occurrence location corresponding to each of the major defects, wherein the first weight represents the likelihood of a major defect occurring when no flow abnormality occurs in the target pipeline, and the second weight represents the likelihood of a single major defect occurring at the major occurrence location; The existence of the target risk in the first pipe section is verified based on the first weight and the second weight.

6. The monitoring and early warning method for a Coriolis flowmeter according to claim 5, characterized in that: The verifying the existence of the target risk in the first pipe section according to the first weight and the second weight specifically includes: Determine the important occurrence positions contained in the first pipe segment as reference occurrence positions, and if there is at least one reference occurrence position among the important occurrence positions corresponding to the important defects, determine the corresponding important defects as reference defects; Calculating a second product of the first weight of each reference defect and the second weight of each corresponding reference occurrence position, and summing the second products to obtain a second summation result; If the second summation result is greater than the first summation result, comparing the second summation result with a preset second threshold; If the second summation result is greater than the second threshold, it is verified that no target risk exists in the first pipe section.

7. The monitoring and early warning method for a Coriolis flowmeter according to claim 6, characterized in that: The method further comprises: If the sum of the second products corresponding to the same reference defect exceeds a preset third threshold, the corresponding reference defect is determined as a defect to be concerned, and the easily evolved defect and evolution coefficient corresponding to each defect to be concerned are determined. The larger the evolution coefficient, the more likely the defect to be concerned is to evolve into the corresponding easily evolved defect. When the easily evolving defect is a key defect, the corresponding easily evolving defect is determined as a warning defect; if at least one key occurrence location corresponding to the warning defect is in the first pipe section, the corresponding key occurrence location is determined as a warning occurrence location; Calculating a third product of the first weight of each of the alert defects and the second weight of the corresponding alert occurrence locations, summing the third products to obtain a third summed result of the corresponding alert defect, and multiplying the third summed result by a corresponding evolution coefficient to obtain a corresponding corrected result; The corrected results are summed to obtain a final result, and the monitoring priority of the Coriolis flowmeter corresponding to the first pipe section is determined based on the final result. The larger the final result, the higher the corresponding monitoring priority.

8. A monitoring and early warning device for a Coriolis flowmeter, characterized in that: include: A data acquisition module (11) is used to acquire, through a Coriolis flowmeter, an actual flow rate of a fluid to be measured at a target monitoring point of a target pipeline and at least one actual operating condition parameter corresponding to the fluid to be measured at the target monitoring point, wherein the target monitoring point is a monitoring point in the target pipeline at which the flow rate of the fluid to be measured is monitored by the Coriolis flowmeter; An abnormality judgment module (12) is used to determine the normal flow range of the fluid to be measured at the target monitoring point based on each of the actual working condition parameters, and to judge whether the actual flow is within the normal flow range; A first early warning module (13) is configured to determine whether a target risk exists in a first pipe section from the target monitoring point to a downstream monitoring point if the actual flow rate is not within the normal flow rate range and when the actual flow rate is greater than a maximum value of the normal flow rate range, and to issue an early warning of flow abnormality for the target monitoring point when the target risk exists in the first pipe section, wherein the downstream monitoring point is a monitoring point downstream of the target monitoring point and closest to the target monitoring point, and the target risk is a risk of existence of a pipeline defect causing flow abnormality; A second early warning module (14) is used to determine whether a target risk exists in a second pipe section from an upstream monitoring point to the target monitoring point when the actual flow rate is less than a minimum value of the normal flow rate range, and to issue an early warning of flow abnormality to the target monitoring point when the target risk exists in the second pipe section, wherein the upstream monitoring point is a monitoring point upstream of the target monitoring point that is closest to the target monitoring point.

9. A computer-readable storage medium storing a computer program, wherein: When the computer program is loaded and executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. An electronic device comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, characterized in that: When the processor loads and executes the computer program, the method according to any one of claims 1 to 7 is implemented.

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