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

Abstract

The invention relates to a monitoring and early warning method and device for a Coriolis flowmeter, a storage medium and electronic equipment, and relates to the technical field of flow monitoring. The method comprises the steps that the normal flow range of a to-be-measured fluid at a target monitoring point is determined based on all actual working condition parameters, and whether the actual flow is within the normal flow range or not is judged; when the actual flow is larger than the maximum value of the normal flow range, whether a target risk exists in a first pipe section from the target monitoring point to the downstream monitoring point or not is determined, and when the target risk exists in the first pipe section, early warning of flow abnormity is given out for the target monitoring point; when the actual flow is smaller than the minimum value of the normal flow range, whether a target risk exists in a second pipe section from the upstream monitoring point to the target monitoring point or not is determined, and when the target risk exists in the second pipe section, early warning of flow abnormity is given out for the target monitoring point. The method has the effect of improving the monitoring and early warning accuracy.

Description

Technical Field

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

[0002] A Coriolis flowmeter is a mass flow measuring instrument based on the Coriolis Effect, and is widely used in the flow measurement of liquids and gases. It can directly measure the mass flow rate of a fluid without relying on parameters such as the density, temperature or pressure of the fluid. In industrial processes, accurately monitoring the fluid flow rate is crucial for ensuring product quality and safety. Among them, the monitoring and warning of a Coriolis flowmeter refers to real-time monitoring of the flow rate of the fluid in the pipeline through the Coriolis flowmeter. Once the flow rate is abnormal, targeted warnings are issued, so as to timely notify relevant personnel to take countermeasures and avoid accidents or losses.

[0003] Currently, the common method for flow monitoring and warning through a Coriolis flowmeter is: comparing 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, a warning is issued for the abnormal flow rate. Since the flow rate of the fluid will change due to the working conditions (such as temperature, pressure) it is in, if the working conditions of the fluid change, the flow rate will also fluctuate normally. At this time, judging whether the flow rate is abnormal through the fixed threshold is likely to result in misjudgment or missed judgment of the abnormal flow rate, leading to poor accuracy of monitoring and warning. Summary of the Invention

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

[0005] In the first aspect of the present application, a monitoring and warning method for a Coriolis flowmeter is provided, which specifically includes: Obtaining the actual flow rate of the fluid to be measured at the target monitoring point of the target pipeline and at least one actual working condition parameter corresponding to the fluid to be measured at the target monitoring point through a Coriolis flowmeter, where the target monitoring point is the monitoring point in the target pipeline for monitoring the flow rate of the fluid to be measured through the Coriolis flowmeter; Based on each of the actual working condition parameters, determining the normal flow rate range of the fluid to be measured at the target monitoring point, and judging whether the actual flow rate is within the normal flow rate range; If the actual flow rate is not within the normal flow rate range, 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 the target risk in the first pipe section, issue a warning of abnormal flow rate for the target monitoring point. 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 existence of a pipeline defect that causes abnormal flow rate. 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 the target risk in the second pipe section, issue a warning of abnormal flow rate 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.

[0006] By adopting the above technical solution, after obtaining the actual flow rate and actual operating condition parameters, based on the actual operating condition parameters, determine the normal flow rate range of the fluid to be measured under the influence of the corresponding operating conditions, so as to consider the influence of the operating conditions on the flow rate, which is convenient for more accurately judging whether the actual flow rate is abnormal. If the actual flow rate is not within the normal flow rate range, it indicates that the actual flow rate is probably abnormal. In order to further improve the accuracy of abnormal judgment, it is necessary to further verify the abnormal actual flow rate. If the actual flow rate is abnormally large, it may be caused by defects such as leakage and blockage in the downstream pipeline. Then judge 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 abnormal flow rate, and then verify again that the actual flow rate is indeed abnormal, improve the accuracy of abnormal judgment, and then issue a targeted warning, so as to improve the accuracy of monitoring and 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, issue a targeted warning, so as to improve the accuracy of monitoring and warning.

[0007] In one implementation manner, the determining whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point specifically includes: According to multiple first historical defects that induce abnormal flow rate when the fluid flow rate in the target pipeline is abnormal, determine at least one key defect, and the key defect is a defect that is easy to induce abnormal flow rate. Determine at least one corresponding key occurrence position from the multiple pipeline positions where a single key defect has occurred, and the key occurrence position is the pipeline position where a single key defect is easy to occur. Determine the first weight of each of the key defects, and determine the second weight of the key occurrence positions corresponding to each of the key defects. The first weight characterizes the possibility of the key defect inducing abnormal flow, and the second weight characterizes the possibility of a single key defect occurring at the key occurrence position; According to the first weight and the second weight, determine whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point.

[0008] In one implementation, the determining whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point according to the first weight and the second weight includes: Determine the key occurrence positions included in the first pipe section from the target monitoring point to the downstream monitoring point as target occurrence positions. If there is at least one target occurrence position among the key occurrence positions corresponding to the key defects, determine the corresponding key defect as a target defect; Calculate the first product of the first weights of the target defects and the second weights of the corresponding target occurrence positions, and sum the first products to obtain a first summation result; Compare the first summation result with a preset first threshold. If the first summation result is greater than the first threshold, determine that there is a target risk 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, determine that there is no target risk in the first pipe section from the target monitoring point to the downstream monitoring point.

[0009] In one implementation, the method further includes: When there is the target risk in the first pipe section, based on the downstream working condition parameters of the downstream monitoring point, determine the downstream normal flow range corresponding to the downstream monitoring point; Compare the measured flow of the downstream monitoring point with the minimum value of the downstream normal flow range. If the measured flow is less than the minimum value of the downstream normal flow range, verify that there is the target risk in the first pipe section; If the measured flow is not less than the minimum value of the downstream normal flow range, determine that the downstream normal flow range is incorrect.

[0010] In one implementation, the method further includes: When there is no target risk in the first pipe section, determine at least one important defect according to a plurality of second historical defects that occurred when the fluid flow in the target pipeline was not abnormal. The important defect is a defect that is not likely to cause abnormal flow in the target pipeline; Determine at least one corresponding important occurrence location from multiple historical pipeline locations where a single said important defect has occurred, the important occurrence location being a historical pipeline location where a single said important defect is likely to occur; Determine a first weight for each said important defect and a second weight for the important occurrence location corresponding to each said important defect, the first weight characterizing the likelihood of an important defect occurring when the flow rate in the target pipeline is normal, and the second weight characterizing the likelihood of a single said important defect occurring at the important occurrence location; Verify the existence of the target risk in the first pipe segment according to the first weight and the second weight.

[0011] In one implementation manner, the verifying the existence of the target risk in the first pipe segment according to the first weight and the second weight specifically includes: Determine the important occurrence locations included in the first pipe segment as reference occurrence locations. If there is at least one reference occurrence location among the important occurrence locations corresponding to the important defect, determine the corresponding important defect as a reference defect; Calculate a second product of the first weight of each said reference defect and the second weights of the corresponding reference occurrence locations, and sum the second products to obtain a second summation result; If the second summation result is greater than the first summation result, compare the second summation result with a preset second threshold; If the second summation result is greater than the second threshold, verify that there is no target risk in the first pipe segment.

[0012] In one implementation manner, the method further includes: If the sum of the second products corresponding to the same reference defect exceeds a preset third threshold, determine the corresponding reference defect as a defect to be concerned about, and determine the corresponding defect that is likely to evolve and the evolution coefficient for each said defect to be concerned about. The larger the evolution coefficient, the more likely the defect to be concerned about is to evolve into the corresponding defect that is likely to evolve; When the defect that is likely to evolve is a key defect, determine the corresponding defect that is likely to evolve as a vigilant defect. If at least one key occurrence location corresponding to the vigilant defect is in the first pipe segment, determine the corresponding key occurrence location as a vigilant occurrence location; Calculate a third product of the first weight of each said vigilant defect and the second weights of the corresponding vigilant occurrence locations, sum the third products to obtain a third summation result corresponding to the vigilant defect, and multiply the third summation result by the corresponding evolution coefficient to obtain a corresponding corrected result; Sum the corrected results to obtain a final result, and determine the monitoring priority of the Coriolis flowmeter corresponding to the first pipe segment according to the final result. The larger the final result, the higher the corresponding monitoring priority.

[0013] In a second aspect of the present application, a monitoring and early warning device for a Coriolis flowmeter is provided, which specifically includes: A data acquisition module, configured to obtain the actual flow rate of the fluid to be measured at the target monitoring point of the target pipeline and at least one actual working condition parameter corresponding to the fluid to be measured at the target monitoring point through a Coriolis flowmeter. The target monitoring point is the monitoring point in the target pipeline where the flow rate of the fluid to be measured is monitored by the Coriolis flowmeter; An abnormality determination module, configured to determine the normal flow rate range of the fluid to be measured at the target monitoring point based on each of the actual working condition parameters, and determine whether the actual flow rate is within the normal flow rate range; A first early warning module, configured to, if the actual flow rate is not within the normal flow rate range, determine whether there is a target risk in the first pipe segment 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 when there is the target risk in the first pipe segment, issue an early warning of abnormal flow rate for the target monitoring point. The downstream monitoring point is the nearest monitoring point downstream of the target monitoring point, and the target risk is the risk of the existence of a pipeline defect that causes abnormal flow rate; A second early warning module, configured to, 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 segment from the upstream monitoring point to the target monitoring point, and when there is the target risk in the second pipe segment, issue an early warning of abnormal flow rate for the target monitoring point. The upstream monitoring point is the nearest monitoring point upstream of the target monitoring point.

[0014] By adopting the above technical solution, after the data acquisition module obtains the actual flow rate and actual working condition parameters, the abnormality determination module determines whether the actual flow rate is within the normal flow rate range. Then, when the actual flow rate is greater than the maximum value of the normal flow rate range, the first early warning module determines whether there is a target risk in the first pipe segment, and issues an early warning of abnormal flow rate accordingly when there is a risk. Finally, when the actual flow rate is less than the minimum value of the normal flow rate range, the second early warning module determines whether there is a target risk in the second pipe segment, and issues an early warning of abnormal flow rate accordingly when there is a risk.

[0015] 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 described in any one of the first aspects are executed.

[0016] In a fourth aspect of the present application, an electronic device is provided, specifically comprising: 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.

[0017] In summary, the present application includes at least one of the following beneficial technical effects: based on the actual operating condition parameters, the normal flow range of the fluid to be measured under the influence of the corresponding operating conditions is determined, so as to consider 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 highly likely to be abnormal. In order to further improve the accuracy of 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. Abnormal, improve the accuracy of abnormal judgment, then issue a warning in a targeted manner, thereby improving the accuracy of 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 warning is issued in a targeted manner, thereby improving the accuracy of monitoring and early warning. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a flow chart of a monitoring and early warning method of a Coriolis flowmeter provided in an embodiment of the present application; Figure 2 It is a structural schematic diagram of a monitoring and early warning device of a Coriolis flowmeter provided in an embodiment of the present application; Figure 3 It is a structural schematic diagram of another monitoring and early warning device of a Coriolis flowmeter provided in an embodiment of the present application.

[0019] Explanation of the accompanying drawings: 11. Data acquisition module; 12. Abnormal judgment module; 13. First warning module; 14. Second warning module; 15. First verification module; 16. Second verification module; 17. Flow monitoring module. DETAILED DESCRIPTION

[0020] In order to enable those 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.

[0021] In the description of the embodiments of the present application, words such as "exemplarily", "for example" or "for illustration" are used to give examples, illustrations or explanations. Any embodiment or design solution described as "exemplarily", "for example" or "for illustration" in the embodiments of the present application should not be construed as being more preferred or having more advantages than other embodiments or design solutions. Rather, the use of words such as "exemplarily", "for example" or "for illustration" is intended to present related concepts in a specific manner.

[0022] In the description of the embodiments of the present application, the term "and / or" is merely an association relationship describing associated objects, indicating that three relationships may exist. For example, A and / or B may represent: A exists alone, B exists alone, and A and B exist simultaneously. In addition, unless otherwise specified, the meaning of the term "plural" refers to 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 only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly indicating the technical features indicated. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The terms "include", "comprise", "have" and their variants all mean "including but not limited to", unless otherwise specifically emphasized in other ways.

[0023] See Figure 1 , the embodiments of the present application disclose a schematic flowchart of a monitoring and warning method for a Coriolis flowmeter, which can be implemented depending on a computer program or run on a monitoring and warning device of a Coriolis flowmeter based on the von Neumann architecture. This computer program can be integrated in an application or run as an independent tool-type application, and specifically includes: S101: Obtain the actual flow rate of the fluid to be measured at the target monitoring point of the target pipeline and at least one actual operating condition parameter corresponding to the fluid to be measured at the target monitoring point through the Coriolis flowmeter.

[0024] Specifically, the target pipeline is the pipeline currently being monitored for fluid flow rate, 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 rate of the fluid to be measured in real time, so as to comprehensively monitor the flow rate change of the target pipeline and provide guarantee for the stable operation of the target pipeline. The target monitoring point is the monitoring point in the target pipeline where the flow rate of the fluid to be measured is monitored by the Coriolis flowmeter. The actual operating condition parameter is a key physical quantity describing the flow state and thermodynamic state of the fluid to be measured at the target monitoring point, and will affect the magnitude of the flow rate of the fluid to be measured. In the embodiments of the present application, the actual operating condition parameters are the temperature and pressure at which the fluid to be measured is located at the target monitoring point.

[0025] The execution entity of a monitoring and early warning method for a Coriolis flowmeter disclosed in an embodiment of the present application is a server. The server 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 the background server of the client, and specifically can be an independent physical server or a cluster composed of multiple physical servers. When a person needs to monitor the flow rate of a target pipeline, an opening instruction is sent to the server through the client in the terminal. Based on this opening instruction, the server obtains the actual flow rate of the fluid to be measured at the target monitoring point through a preset Coriolis flowmeter at the target monitoring point. Further, at least one actual working condition parameter corresponding to the fluid to be measured at the target monitoring point, that is, temperature and pressure, is obtained through a preset temperature sensor and pressure sensor at the target monitoring point.

[0026] S102: Based on each actual working condition parameter, determine the normal flow rate range of the fluid to be measured at the target monitoring point, and determine whether the actual flow rate is within the normal flow rate range.

[0027] Specifically, after each actual working condition parameter is determined, each actual working condition parameter is input into a preset normal flow rate prediction model to obtain the normal flow rate range of the fluid to be measured at the target monitoring point. Among them, the normal flow rate prediction model is a trained support vector machine or decision tree model. The training process is briefly described as follows: At least one set of working condition parameter samples marked with the normal flow rate range of the fluid to be measured are input into the model for training. During the process, constraint training is performed through a cross-entropy loss function, and model parameter tuning is performed through a reverse gradient algorithm until the model converges to obtain the normal flow rate prediction model, which has the ability to predict the normal flow rate range of the fluid to be measured under specific working conditions. This is the prior art and will not be elaborated here. It should be noted that the normal flow rate range of the fluid to be measured is different under different working conditions. Exemplarily, the normal flow rate range f1 of the fluid to be measured under the working condition of temperature a1 and pressure p1 is different from the normal flow rate range f2 under the working condition of temperature a2 and pressure p2.

[0028] Finally, determine 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 by a fixed threshold, the accuracy is higher, and thus accurate and timely early warning of flow rate abnormality can be realized, avoiding the problems of false triggering of early warning or missed reporting of abnormalities.

[0029] S103: If the actual flow rate is not within the normal flow rate range, 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 an early warning of flow rate abnormality for the target monitoring point.

[0030] Specifically, the downstream monitoring point is the monitoring point closest to the target monitoring point downstream. If the actual flow rate is not within the normal flow rate range, it indicates that the flow rate of the fluid to be measured may be abnormal and further verification is required to ensure the accuracy of subsequent early warnings for flow rate abnormalities. Then, compare this actual flow rate 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 rate abnormality of the fluid to be measured is an excessive flow rate, most likely caused by defects in the pipeline downstream of the target monitoring point, such as blockage, damage, or leakage. Then, determine whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point. The target risk is the risk of the existence of pipeline defects that cause flow rate abnormalities. A feasible determination method is as follows: Based on the first defect occurrence records cached in the database, when the target pipeline has a flow rate abnormality, obtain multiple first historical defects that cause the flow rate abnormality, and count the number of repeated occurrences of a single first historical defect among all the first historical defects. If the number of repeated occurrences exceeds a preset number threshold, then determine the corresponding first historical defect as a key defect, that is, a defect that is likely to induce a flow rate abnormality in the target pipeline. Further, based on the above first defect occurrence records, obtain multiple pipeline positions where a single key defect has occurred, and count the number of repeated occurrences of a single pipeline position among all the pipeline positions. If the number of repeated occurrences exceeds a preset number threshold, then determine the corresponding pipeline position as the key occurrence position corresponding to this key defect, that is, the pipeline position where this key defect is likely to occur. Among them, the first defect occurrence records include, but are not limited to, information such as defects that cause flow rate abnormalities and their corresponding occurrence positions in historical flow rate monitoring.

[0031] Furthermore, determine the first weight of each key defect and the second weight of the key occurrence position corresponding to each key defect. Among them, the first weight is the ratio of the number of repeated occurrences of each key defect to the sum of the number of repeated occurrences of all key defects. The first weight represents the possibility of the key defect inducing a flow rate abnormality. The second weight is the ratio of the number of repeated occurrences of a single key occurrence position corresponding to the key defect to the sum of the number of repeated occurrences of all corresponding key occurrence positions. The second weight represents the possibility of a single key defect occurring at the key occurrence position.

[0032] Further, according to the first weight and the second weight, determine whether there is a target risk in the first pipe segment. One achievable implementation is as follows: Determine the target occurrence position as the key occurrence position included in the first pipe segment from the target monitoring point to the downstream monitoring point. If there is at least one target occurrence position among the key occurrence positions corresponding to the key defects, then determine the corresponding key defect as the target defect. Then, calculate the first product of the first weight of each target defect and the second weight of each corresponding target occurrence position. The greater the first product, the greater the possibility that the target defect appears at the corresponding target occurrence position when the flow rate is abnormal. Sum up the first products to obtain the first summation result. The greater the first summation result, the greater the overall possibility that the first pipe segment has key defects and the more likely there is a target risk. Finally, if the first summation result exceeds the first threshold, it indicates that the overall possibility of the first pipe segment having key defects is relatively high, then determine that there is a target risk in the first pipe segment; conversely, if the first summation result does not exceed the first threshold, determine that there is no target risk in the first pipe segment. In other embodiments, sum up the first products corresponding to the same target defect to obtain a summation result, select the maximum summation result among the summation results. If the target defect corresponding to the maximum summation result is a preset defect, verify again that the abnormal flow rate at the target monitoring point is caused by the defect in the first pipe segment. The preset defect is a defect that is likely to cause excessive flow in the upstream area, including but not limited to leakage defects, blockage defects, and damage defects, etc. Exemplarily, if there is a leakage defect in the first pipe segment, then the flow rate at the target monitoring point upstream of the leakage defect will be abnormally large, and the flow rate at the downstream monitoring point downstream of the leakage defect will be abnormally small. The upstream flow rate is large because some fluid leaks from the leakage point, and the system needs to increase the upstream flow rate to compensate for the loss caused by the leakage. The downstream flow rate is small because some fluid has already leaked from the leakage point, resulting in insufficient downstream flow rate.

[0033] Finally, if there is a target risk in the first pipe segment, verify again that the actual flow rate at the target monitoring point has indeed become abnormal, which can improve the accuracy of subsequent abnormal warnings to a certain extent and reduce the risks of false alarms and missed alarms. Then, send a warning of abnormal flow rate to the terminal for the target monitoring point, so as to remind the personnel to go for investigation in time.

[0034] In other embodiments, if it is determined that there is a target risk in the first pipe segment, it indicates that the abnormally large flow rate at the target monitoring point is probably caused by a preset defect in the first pipe segment. Then, the downstream operating conditions parameters are obtained through the preset temperature sensor and pressure sensor at the downstream monitoring point, and then the downstream operating conditions 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 at the downstream monitoring point. If the measured flow rate is less than the minimum value of the downstream normal flow range, it indicates that the flow rate at the downstream monitoring point is abnormally small. The flow rate monitoring data at the target monitoring point and the flow rate monitoring data at the downstream monitoring point are mutually verified, which once again proves the existence of the abnormal flow rate at the target monitoring point. At the same time, it can also timely and accurately detect the abnormal flow rate at the downstream monitoring point, and in addition, it can quickly lock the type of defect existing in the first pipe segment.

[0035] On the premise of confirming that the abnormal flow rate at the target monitoring point is caused by a defect in the first pipeline, under normal circumstances, the measured flow rate should be abnormally small. If the measured flow rate is not less than the minimum value of the downstream normal flow range, it indicates that the downstream normal flow range is probably incorrect and needs to be re-determined, so as to realize the verification of the downstream normal flow range.

[0036] In another embodiment, when there is no target risk in the first pipe segment, based on the second defect occurrence record, a plurality of second historical defects that occurred when the fluid in the target pipeline was not abnormal are obtained, and the first occurrence frequency of a single second historical defect among all the second historical defects is counted. In the order from largest to smallest of the first occurrence frequency, the first number of second historical defects is selected from each of the second historical defects and determined as important defects, that is, defects in the target pipeline that are not likely to cause abnormal flow rates. Further, based on the above second defect occurrence record, a plurality of historical pipeline positions where a single important defect occurred are obtained, and the second occurrence frequency of a single historical pipeline position among all the historical pipeline positions is counted. In the order from largest to smallest of the second occurrence frequency, the second number of historical pipeline positions is selected from each of the historical pipeline positions and determined as the important occurrence positions corresponding to the important defect, that is, the historical pipeline positions where a single important defect is likely to occur. Among them, the second defect occurrence record includes, but is not limited to, information such as defects that did not cause abnormal flow rates and their corresponding occurrence positions in historical flow rate monitoring.

[0037] Further, determine the first weight of each important defect and determine the second weight of each important occurrence position corresponding to the 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 position corresponding to the important defect to the sum of the second occurrence frequencies of all corresponding important occurrence positions. The first weight represents the possibility of an important defect occurring when the flow rate in the target pipeline is normal, and the second weight represents the possibility of a single important defect occurring at an important occurrence position. Finally, verify the existence of the target risk in the first pipe section according to the first weight and the second weight. An achievable implementation method is as follows: Determine the important occurrence positions included in the first pipe section as reference occurrence positions. If there is at least one reference occurrence position among the important occurrence positions corresponding to the important defect, then determine the corresponding important defect as a reference defect. Then, calculate the second product of the first weight of each reference defect and the second weights of the corresponding reference occurrence positions. The larger the second product, the greater the possibility that the reference defect corresponding to the reference occurrence position does not cause abnormal flow. Sum up the second products to obtain a second summation result. The larger the second summation result, the greater the overall possibility that defects that do not cause abnormal flow occur in the entire first pipe section, and the less likely it is to have abnormal flow. Then, if the second summation result is greater than the first summation result, it indicates that the overall possibility of defects that do not cause abnormal flow occurring in the first pipe section is higher than the overall possibility of defects that cause abnormal flow. If the second summation result is further greater than a preset second threshold, then it is verified that there is no target risk in the first pipe section, and it can also indicate that there are probably defects in the first pipe section that do not cause abnormal flow. Exemplarily, the important defects can be the peeling of the internal anti-corrosion layer in the pipeline, non-penetrating cracks, surface pores, scratches, etc.

[0038] Further, if the sum of each second product corresponding to the same reference defect exceeds a preset third threshold, it indicates that the possibility of the occurrence of the reference defect in the first pipe segment is greater. Then, the corresponding reference defect is determined as a defect to be concerned about. Next, the easily evolved defect and the evolution coefficient corresponding to each defect to be concerned about are determined. The larger the evolution coefficient, the easier it is for the defect to be concerned about to evolve into the corresponding easily evolved defect. Specifically, the easily evolved defect and the evolution coefficient corresponding to the defect to be concerned about are determined through a preset matching table. The matching table includes different reference defects and the corresponding easily evolved defects and evolution coefficients. According to the historical defects evolved from the reference defect, the number of repetitions of a single historical defect is counted. If the number exceeds a preset number threshold, then the corresponding historical defect is determined as the easily evolved defect corresponding to the reference defect, and the ratio of the number of repetitions of the single easily evolved defect corresponding to the reference defect to the total number of repetitions of all the easily evolved defects is determined as the evolution coefficient. Among them, the easily evolved defect is the final defect that the reference defect in the pipeline is likely to evolve into over time. Exemplarily, the defect to be concerned about is a scratch. As the corrosion at the scratch expands, its easily evolved defect is corrosion leakage.

[0039] Further, when the easily evolved defect is a key defect, the corresponding easily evolved defect is determined as a vigilant defect. If at least one key occurrence position corresponding to the vigilant defect is in the first pipe segment, then the corresponding key occurrence position is determined as a vigilant occurrence position. Next, the third product of the first weight of each vigilant defect and the second weight of each corresponding vigilant occurrence position is calculated. The larger the third product, the more likely it is for the vigilant defect to occur at the corresponding vigilant occurrence position and cause a flow anomaly. Then, the third products are summed up to obtain the third summation result corresponding to the vigilant defect. The larger the third summation result, the greater the overall possibility of the occurrence of the vigilant defect in the entire first pipe segment and causing a flow anomaly. Then, the third summation result is multiplied by the corresponding evolution coefficient to obtain the corrected result corresponding to the vigilant defect. Finally, the corrected results are summed up to obtain the final result. Further, according to the final result, the monitoring priority of the Coriolis flowmeter corresponding to the first pipe segment is determined. The larger the final result, the easier it is for the first pipe segment to evolve into a defect that causes a flow anomaly, and the higher the corresponding monitoring priority, and the more priority is given to monitoring the flow of the first pipe segment through the Coriolis flowmeter to timely detect the situation of flow anomaly.

[0040] In another embodiment, if the actual flow rate is within the normal flow rate range, then calculate the product of the first weight of each key defect and the second weight of each corresponding key occurrence position, sum the product of weights corresponding to the same key occurrence position to obtain the sum of the product of weights. If the sum of the product of weights exceeds the preset threshold, it indicates that there is a high probability that a key defect occurs at the corresponding key occurrence position in the target pipeline, leading to a process anomaly. There is probably a flow rate anomaly in the target pipeline, 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 product of weights, determine the defect investigation order of the corresponding key occurrence position. The larger the sum of the product of weights, the higher the defect investigation order. Finally, send each defect investigation order to the terminal of the investigation personnel, so as to quickly and accurately determine the reason for the flow rate anomaly.

[0041] 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 warning of flow rate anomaly for the target monitoring point.

[0042] Specifically, the upstream monitoring point is the monitoring point closest to the target monitoring point among the upstream monitoring points of the target monitoring point. If the actual flow rate is less than the minimum value of the normal flow rate range, it indicates that the flow rate anomaly of the fluid to be measured is too small (abnormally small), and it is very likely that there are defects in the pipeline upstream of the target monitoring point, such as blockage, damage or leakage, etc. Then determine whether there is a target risk in the second pipe section from the upstream monitoring point to the target monitoring point. The specific determination logic can refer to step S103 and will not be elaborated here. If there is a target risk in the second pipe section, it indicates that there is indeed a flow rate anomaly at the target monitoring point. Then issue a warning of flow rate anomaly to the terminal for the target monitoring point.

[0043] The implementation principle of the monitoring and warning method of the Coriolis flowmeter in the embodiment of the present application is as follows: Based on the actual working condition parameters, determine the normal flow rate range of the fluid to be measured under the influence of the corresponding working conditions, so as to consider the influence of the working conditions on the flow rate and facilitate a more accurate judgment of whether the actual flow rate is abnormal. If the actual flow rate is not within the normal flow rate range, it indicates that the actual flow rate is probably abnormal. In order to further improve the accuracy of the abnormal judgment, it is necessary to further verify the actual flow rate anomaly. If the actual flow rate is abnormally large, it may be caused by defects such as leakage and blockage in the downstream pipeline. Then judge whether there is a target risk in the first pipe section. If there is a target risk, it indicates that there is an anomaly in the first pipe section causing the flow rate anomaly, and then verify again that the actual flow rate is indeed abnormal to improve the accuracy of the abnormal judgment. Then issue a targeted warning to improve the accuracy of the monitoring and 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, issue a targeted warning to improve the accuracy of the monitoring and warning.

[0044] The following is an embodiment of the device of the present application, which can be used to execute the method embodiment of the present application. For the details not disclosed in the device embodiment of the present application, please refer to the method embodiment of the present application.

[0045] Please refer to Figure 2 , which is a schematic structural diagram of the monitoring and early warning device of the Coriolis flowmeter provided by the embodiment of the present application. The monitoring and early warning device applied to the 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 judgment module 12, a first early warning module 13 and a second early warning module 14.

[0046] The data acquisition module 11 is used to obtain the actual flow rate of the fluid to be measured at the target monitoring point in the target pipeline and at least one actual operating condition parameter corresponding to the fluid to be measured at the target monitoring point through the Coriolis flowmeter. The target monitoring point is the monitoring point in the target pipeline that monitors the flow rate of the fluid to be measured through the Coriolis flowmeter; The abnormality judgment module 12 is used to determine the normal flow rate range of the fluid to be measured at the target monitoring point based on each actual operating condition parameter, and judge whether the actual flow rate is within the normal flow rate range; The first early warning module 13 is used to, if the actual flow rate is not within the normal flow rate range, 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 warning of abnormal flow for the target monitoring point. 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 existence risk of the pipeline defect that causes the flow rate abnormality; The second early warning module 14 is used to, 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 warning of abnormal flow 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.

[0047] Optionally, the first early warning module 13 is specifically used for: According to multiple first historical defects that induce flow rate abnormality when the fluid flow rate in the target pipeline is abnormal, determine at least one key defect, where the key defect is a defect that is easy to induce flow rate abnormality; Determine at least one corresponding key occurrence position from the multiple pipeline positions where a single key defect has occurred. The key occurrence position is the pipeline position where a single key defect is likely to occur; Determine the first weight of each key defect and determine the second weight of the key occurrence position corresponding to each key defect. The first weight represents the possibility of the key defect inducing abnormal flow, and the second weight represents the possibility of a single key defect occurring at the key occurrence position; According to the first weight and the second weight, determine whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point.

[0048] Optionally, the first warning module 13 is specifically configured to: Determine the key occurrence positions included in the first pipe section from the target monitoring point to the downstream monitoring point as target occurrence positions. If there is at least one target occurrence position among the key occurrence positions corresponding to the key defects, determine the corresponding key defect as a target defect; Calculate the first product of the first weights of the target defects and the second weights of the corresponding target occurrence positions, and sum the first products to obtain a first summation result; Compare the first summation result with a preset first threshold. If the first summation result is greater than the first threshold, determine that there is a target risk 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, determine that there is no target risk in the first pipe section from the target monitoring point to the downstream monitoring point.

[0049] Optionally, as Figure 3 shown, the device further includes a first verification module 15, which is specifically configured to: When there is a target risk in the first pipe section, based on the downstream operating conditions parameters of the downstream monitoring point, determine the downstream normal flow range corresponding to the downstream monitoring point; Compare the measured flow rate of the downstream monitoring point with the minimum value of the downstream normal flow range. If the measured flow rate is less than the minimum value of the downstream normal flow range, verify that there is a target risk in the first pipe section; If the measured flow rate is not less than the minimum value of the downstream normal flow range, determine that the downstream normal flow range is incorrect.

[0050] Optionally, the device includes a second verification module 16, which is specifically configured to: When there is no target risk in the first pipe section, determine at least one important defect according to multiple second historical defects that have occurred when the fluid flow rate in the target pipeline is not abnormal. The important defect is a defect that is not likely to cause abnormal flow in the target pipeline; Determine the corresponding at least one important occurrence position from the multiple historical pipeline positions where a single important defect has occurred. The important occurrence position is the historical pipeline position where a single important defect is likely to occur; Determine the first weight for each important defect and determine the second weight for each important occurrence position corresponding to the important defect. The first weight represents the possibility of the important defect occurring when the flow rate in the target pipeline is normal, and the second weight represents the possibility of a single important defect occurring at the important occurrence position; Verify the existence of the target risk in the first pipe section according to the first weight and the second weight.

[0051] Optionally, the second verification module 16 is specifically configured to: Determine the important occurrence positions included in the first pipe section as reference occurrence positions. If there is at least one reference occurrence position among the important occurrence positions corresponding to the important defect, determine the corresponding important defect as a reference defect; Calculate the second product of the first weight of each reference defect and the second weight of each corresponding reference occurrence position, and sum the second products to obtain a second summation result; If the second summation result is greater than the first summation result, compare the second summation result with a preset second threshold; If the second summation result is greater than the second threshold, verify that there is no target risk in the first pipe section.

[0052] Optionally, the device further includes a flow rate monitoring module 17, which is specifically configured to: If the sum of the second products corresponding to the same reference defect exceeds a preset third threshold, determine the corresponding reference defect as a defect to be concerned about, and determine the corresponding easily evolved defect and evolution coefficient for each defect to be concerned about. The larger the evolution coefficient, the easier the defect to be concerned about evolves into the corresponding easily evolved defect; When the easily evolved defect is a key defect, determine the corresponding easily evolved defect as a vigilant defect. If at least one key occurrence position corresponding to the vigilant defect is in the first pipe section, determine the corresponding key occurrence position as a vigilant occurrence position; Calculate the third product of the first weight of each vigilant defect and the second weight of each corresponding vigilant occurrence position, sum the third products to obtain the third summation result corresponding to the vigilant defect, and multiply the third summation result by the corresponding evolution coefficient to obtain the corresponding corrected result; Sum the corrected results to obtain a final result, and determine the monitoring priority of the Coriolis flowmeter corresponding to the first pipe section according to the final result. The larger the final result, the higher the corresponding monitoring priority.

[0053] It should be noted that when the monitoring and early warning device of a Coriolis flowmeter provided in the above embodiments executes the monitoring and early warning method of the Coriolis flowmeter, only the division of the above functional modules is used for illustration. In actual applications, the above functions can be allocated to different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the monitoring and early warning device of a Coriolis flowmeter provided in the above embodiments and the embodiment of the monitoring and early warning method of a Coriolis flowmeter belong to the same concept. For the implementation process, please refer to the method embodiment and will not be elaborated here.

[0054] The embodiment of the present application also discloses a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the monitoring and early warning method of a Coriolis flowmeter in the above embodiments is implemented.

[0055] Among them, the computer program can be stored in the 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 some middleware form, etc. The computer-readable medium includes any entity or device that can carry the computer program code, recording medium, USB flash drive, mobile hard disk, magnetic disk, optical disc, 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 the computer-readable medium includes, but is not limited to, the above components.

[0056] Among them, through this computer-readable storage medium, the monitoring and early warning method of a Coriolis flowmeter in the above embodiments is stored in the computer-readable storage medium and is loaded and executed on the processor to facilitate the storage and application of the above method.

[0057] The embodiment of the present application also discloses an electronic device. A computer program is stored in the computer-readable storage medium. When the computer program is loaded and executed by the processor, the monitoring and early warning method of the above Coriolis flowmeter is implemented.

[0058] Among them, the electronic device can be a desktop computer, a laptop computer or a cloud server and other electronic devices. 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 a bus, etc.

[0059] Among them, the processor may adopt a central processing unit (CPU). Of course, according to the actual usage, other general-purpose processors, digital signal processors (DSPs), 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. may also be adopted. The general-purpose processor may adopt a microprocessor or any conventional processor, etc. This application does not make any restrictions in this regard.

[0060] Among them, the memory may be an internal storage unit of the electronic device. For example, the hard disk or memory of the electronic device. It may also be an external storage device of the electronic device. For example, the plug-in hard disk, smart media card (SMC), secure digital card (SD) or flash card (FC) equipped on the electronic device, etc. And the memory may also be a combination of the internal storage unit and the 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 may also be used to temporarily store the data that has been output or will be output. This application does not make any restrictions in this regard.

[0061] Among them, through this electronic device, the monitoring and warning method of a Coriolis flowmeter in the above embodiment is stored in the memory of the electronic device and is loaded and executed on the processor of the electronic device for convenient use.

[0062] The above are only exemplary embodiments of the present disclosure and should not be used 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 still fall within the scope covered by the present disclosure. This application aims to cover any variations, uses or adaptive changes of the present disclosure. These variations, uses or adaptive changes follow the general principles of the present disclosure and include the common general knowledge or conventional technical means in the technical field not recorded in the present disclosure. The description and the embodiments are only regarded as exemplary, and the scope and spirit of the present disclosure are defined by the claims.

Claims

1. A monitoring and warning method for a Coriolis flowmeter, characterized in that, The method includes: Obtaining the actual flow rate of the fluid to be measured at the target monitoring point in the target pipeline and at least one actual operating condition parameter corresponding to the fluid to be measured at the target monitoring point through a Coriolis flowmeter, where the target monitoring point is the monitoring point in the target pipeline for monitoring the flow rate of the fluid to be measured through the Coriolis flowmeter; Based on each of the actual operating condition parameters, determining the normal flow rate range of the fluid to be measured at the target monitoring point and determining whether the actual flow rate is within the normal flow rate range; If the actual flow rate is not within the normal flow rate range, when the actual flow rate is greater than the maximum value of the normal flow rate 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 a warning of abnormal flow rate for the target monitoring point, where the downstream monitoring point is the monitoring point closest to the target monitoring point downstream in the target pipeline, and the target risk is the risk of the existence of a pipeline defect that causes abnormal flow rate; When the actual flow rate is less than the minimum value of the normal flow rate 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 a warning of abnormal flow rate for the target monitoring point, where the upstream monitoring point is the monitoring point closest to the target monitoring point upstream in the target pipeline.

2. The monitoring and early warning method of the Coriolis flowmeter according to claim 1, wherein, The determining whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point specifically includes: According to multiple first historical defects that induce abnormal flow rate when the fluid flow rate in the target pipeline is abnormal, determining at least one key defect, where the key defect is a defect that is prone to inducing abnormal flow rate; Determining at least one corresponding key occurrence position from multiple pipeline positions where a single key defect has occurred, where the key occurrence position is the pipeline position where a single key defect is prone to occur; Determining the first weight of each key defect and determining the second weight of the corresponding key occurrence position of each key defect, where the first weight represents the possibility of the key defect inducing abnormal flow rate, and the second weight represents the possibility of a single key defect occurring at the key occurrence position; According to the first weight and the second weight, determining whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point.

3. The monitoring and warning method of the Coriolis flowmeter according to claim 2, wherein The determining whether there is a target risk in the first pipe section from the target monitoring point to the downstream monitoring point according to the first weight and the second weight includes: Determining the key occurrence positions included in the first pipe section from the target monitoring point to the downstream monitoring point as target occurrence positions, and if there is at least one target occurrence position among the key occurrence positions corresponding to the key defect, determining the corresponding key defect as a target defect; Calculating the first product of the first weight of each target defect and the second weight of the corresponding target occurrence position, and summing up each first product to obtain a first summation result; Compare the first summation result with a preset first threshold. If the first summation result is greater than the first threshold, it is determined that there is a target risk 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 there is no target risk in the first pipe section from the target monitoring point to the downstream monitoring point.

4. The monitoring and warning method of the Coriolis flowmeter according to claim 1, characterized in that, The method further includes: When there is the target risk in the first pipe section, based on the downstream operating conditions parameters of the downstream monitoring point, determine the corresponding downstream normal flow range of the downstream monitoring point; Compare the measured flow of the downstream monitoring point with the minimum value of the downstream normal flow range. If the measured flow is less than the minimum value of the downstream normal flow range, verify that there is the target risk in the first pipe section; If the measured flow is not less than the minimum value of the downstream normal flow range, it is determined that the downstream normal flow range is incorrect.

5. The monitoring and early warning method of the Coriolis flowmeter according to claim 3, characterized in that, The method further includes: When there is no target risk in the first pipe section, according to multiple second historical defects that occurred when the fluid flow in the target pipeline was not abnormal, determine at least one important defect, where the important defect is a defect in the target pipeline that is not likely to cause abnormal flow; Determine at least one corresponding important occurrence location from the multiple historical pipeline locations where a single important defect occurred, where the important occurrence location is the historical pipeline location where a single important defect is likely to occur; Determine the first weight of each important defect and the second weight of the corresponding important occurrence location of each important defect. The first weight represents the possibility of an important defect occurring when the flow in the target pipeline is not abnormal, and the second weight represents the possibility of a single important defect occurring at the important occurrence location; Verify the existence of the target risk in the first pipe section according to the first weight and the second weight.

6. The monitoring and early warning method of the Coriolis flowmeter according to claim 5, wherein, 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 locations included in the first pipe section as reference occurrence locations. If there is at least one reference occurrence location among the important occurrence locations corresponding to an important defect, determine the corresponding important defect as a reference defect; Calculate the second product of the first weight of each reference defect and the second weight of the corresponding reference occurrence locations, and sum up the second products to obtain a second summation result; If the second summation result is greater than the first summation result, compare the second summation result with a preset second threshold; If the second summation result is greater than the second threshold, verify that there is no target risk in the first pipe section.

7. The monitoring and early warning method of the Coriolis flowmeter according to claim 6, characterized in that, The method further includes: If the sum of the second products corresponding to the same reference defect exceeds a preset third threshold, determine the corresponding reference defect as a defect to be concerned about, and determine the corresponding evolvable defect and evolution coefficient for each defect to be concerned about. The larger the evolution coefficient, the easier the defect to be concerned about evolves into the corresponding evolvable defect; When the evolvable defect is a key defect, the corresponding evolvable defect is determined as a vigilant defect. If at least one key occurrence position corresponding to the vigilant defect is in the first pipe section, the corresponding key occurrence position is determined as a vigilant occurrence position; Calculate the third product of the first weight of each vigilant defect and the second weight of each corresponding vigilant occurrence position, sum up the third products to obtain the third summation result of the corresponding vigilant defect, and multiply the third summation result by the corresponding evolution coefficient to obtain the corresponding corrected result; Sum up the corrected results to obtain the final result, and determine the monitoring priority of the Coriolis flowmeter corresponding to the first pipe section according to the final result. The larger the final result, the higher the corresponding monitoring priority.

8. A monitoring and warning device for a Coriolis flowmeter, characterized in that, including: A data acquisition module (11) for obtaining the actual flow rate of the fluid to be measured at the target monitoring point of the target pipeline and at least one actual working condition parameter corresponding to the fluid to be measured at the target monitoring point through a Coriolis flowmeter. The target monitoring point is the monitoring point in the target pipeline where the flow rate of the fluid to be measured is monitored by the Coriolis flowmeter; An abnormality judgment module (12) for determining the normal flow rate range of the fluid to be measured at the target monitoring point based on the actual working condition parameters and judging whether the actual flow rate is within the normal flow rate range; A first warning module (13) for, if the actual flow rate is not within the normal flow rate range, determining whether there is a target risk 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 issuing a warning of abnormal flow rate for the target monitoring point when the target risk exists in the first pipe section. The downstream monitoring point is the nearest monitoring point downstream of the target monitoring point, and the target risk is the existence risk of a pipeline defect that causes abnormal flow rate; A second warning module (14) for determining 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 issuing a warning of abnormal flow rate for the target monitoring point when the target risk exists in the second pipe section. The upstream monitoring point is the nearest monitoring point upstream of the target monitoring point.

9. A computer-readable storage medium storing a computer program therein, characterized in that, When the computer program is loaded and executed by the processor, the method described in any one of claims 1-7 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 described in any one of claims 1-7 is implemented.

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