Scraper flow metering value checking method based on pulse signals

Abstract

The invention discloses a scraper flow metering value checking method based on pulse signals, and the method comprises the steps: carrying out the segmentation of pulses outputted when a rotor rotates for a circle based on a set flow in a manner that the number of pulses in each segment is the same; setting an acquisition period, and based on the segmentation, counting the pulse duration of each segment in each circle in the acquisition period; the value checking is carried out on the scraper flowmeter according to the pulse duration of each section in each circle; the method effectively solves the problems that an existing quantity value checking method based on a static set threshold is difficult to adaptively adjust different fluids, processes and environment changes, and an empirical judgment quantity value checking method depends on subjective opinions of operators, so that recognition results are inconsistent.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of flow meters, in particular to a method for checking the measurement value of a scraper flow meter. BACKGROUND

[0002] As a common flow measurement device, scraper flow meters play a crucial role in industrial production, ensuring that fluids flow at an accurate rate in the pipeline system. However, due to complex process environments and fluid characteristics, scraper flow meters may face various abnormal situations in actual use, such as blockage, corrosion, mechanical failure, etc., which may lead to inaccurate or even complete failure of flow measurement. This may cause delays in the production process and even safety hazards. In order to reduce the probability of abnormal situations, engineering and technical personnel need to regularly maintain and maintain the flow meter.

[0003] In the technical field of flow meters, it is necessary to detect abnormal flow meters early and repair them early, so it is necessary to carry out effective value verification in this field to ensure the reliability of the scraper flow meter measurement, and thus ensure the control accuracy of the related feedback control system, and even the deep implementation of lean management. The traditional scraper flow meter value verification method is mainly based on static threshold setting or experience judgment, and these two methods have the following problems: first, it is difficult to adapt to changes in different fluids, processes and environmental conditions. With changes in time, temperature, pressure and other factors, the threshold remains unchanged, which may cause false positives or false negatives in the system; second, it cannot timely detect potential abnormal situations and can only respond when the abnormality is obvious; third, the method based on experience judgment relies too much on the subjective opinions of operators, and different people may lead to inconsistent identification results. Therefore, a more intelligent and accurate scraper flow meter value verification method is needed to improve the accuracy and stability of flow measurement, while reducing the risk and loss in the production process. SUMMARY

[0004] Therefore, the present disclosure provides a method for checking the measurement value of a scraper flow meter based on a pulse signal, which solves the problem that the current value verification method based on static threshold setting is difficult to adapt to changes in different fluids, processes and environments, and the value verification method based on experience judgment relies on the subjective opinions of operators, leading to inconsistent identification results.

[0005] To achieve the above-mentioned purpose, the method for checking the measurement value of a scraper flow meter based on a pulse signal comprises: Based on the set flow, the pulses output by one revolution of the rotor are segmented in a way that the number of pulses in each segment is the same; Set the collection period, based on the segmentation, count the pulse duration of each segment in each revolution within the collection period; The quantity verification of the scraper flowmeter is performed by the pulse duration of each segment in each revolution.

[0006] In the present disclosure and possible embodiments, the number of segments is the number of scrapers of the scraper flowmeter.

[0007] In the present disclosure and possible embodiments, the acquisition period is counted by a set number of pulses.

[0008] In the present disclosure and possible embodiments, the method of performing the quantity verification of the scraper flowmeter by the pulse duration of each segment in each revolution comprises: Based on the set flow rate, the total number of revolutions of the rotor in the acquisition period is obtained; For each revolution of the total number of revolutions, the pulse time of the revolution is acquired; The proportion of each segment is calculated by dividing the pulse duration by the pulse time, and a proportion set of each segment is obtained; Using the proportion set, the average proportion of each segment under the set flow rate is calculated; The difference between the maximum value and the minimum value in the average proportion and / or the standard deviation of the average proportion is calculated; The quantity verification of the scraper flowmeter is performed by the difference and / or the standard deviation under different set flow rates.

[0009] In the present disclosure and possible embodiments, the method of performing the quantity verification of the scraper flowmeter by the difference and / or the standard deviation under different set flow rates comprises: The difference corresponding to the different set flow rates is always greater than 0.003 and / or the standard deviation is always greater than 0.0015, which is used as a criterion for determining whether the scraper flowmeter is in an abnormal state.

[0010] The present disclosure has the following beneficial effects: The pulse signal-based quantity verification method of the scraper flowmeter of the present disclosure uses the pulse signal output by the pulse signal transmitter of the scraper flowmeter as the basis for measuring whether it is abnormal, because the pulse signal contains flowmeter state information. Specifically, by segmenting and counting, the pulse characteristics of the scraper flowmeter under the set flow rate are calculated by using multiple data to represent the characteristic parameters, and then the pulse characteristics of different segments are accurately analyzed, so that the pulse characteristics are used to accurately and sensitively determine whether the scraper flowmeter is abnormal, achieving the purpose of accurately positioning the abnormality, which helps to improve the reliability and accuracy of flowmeter monitoring. Compared with traditional overall analysis, the method of the present disclosure can more effectively improve the accuracy of abnormal positioning, help to reduce maintenance costs and improve the efficiency of abnormal handling. BRIEF DESCRIPTION OF DRAWINGS

[0011] The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure, taken in conjunction with the accompanying drawings, in which: Figure 1-1 is a four-pulse segment proportion statistical chart of an abnormal scraper flowmeter of an embodiment of the present disclosure at a flow rate of 77 m³ / h; Figure 1-2 is a four-pulse segment proportion statistical chart of a normal scraper flowmeter at a flow rate of 77 m³ / h; Figure 2 is a difference comparison chart of a normal scraper flowmeter and an abnormal scraper flowmeter at different flow rates; Figure 3 is a standard deviation comparison chart of a normal scraper flowmeter and an abnormal scraper flowmeter at different flow rates. DETAILED DESCRIPTION

[0012] The present disclosure is described below based on embodiments, but it is worth noting that the present disclosure is not limited to these embodiments. In the following detailed description of the present disclosure, some specific details are described in detail. However, those skilled in the art can also fully understand the present disclosure without detailed description of the parts.

[0013] At the same time, unless the context clearly requires otherwise, the terms "comprise", "comprising", "include", "including" and the like in the specification and claims should be interpreted as including but not limited to.

[0014] The invention principle and design idea of the scraper flowmeter measurement value verification method based on pulse signals of the present application are as follows: The present inventors found that due to the influence of the mechanical characteristics of the scraper flowmeter and external environmental factors, the actual collected results are that even if the fluid flow is fixed, the duration of each pulse output by the pulse transmitter of the same scraper flowmeter is not completely consistent, that is, the state information of the scraper flowmeter is contained in the pulse signal, so the pulse signal output by the pulse transmitter of the scraper flowmeter can be used as a basis for measuring whether it is abnormal.

[0015] Based on the above findings, taking a scraper flowmeter composed of two pairs of scrapers as an example, the number of pulses sent by the pulse transmitter of the scraper flowmeter when the rotor rotates one revolution is recorded as 4N (N is an integer), that is, one revolution is divided into four segments, each segment has N pulses, and since each pulse duration is different, the N pulse durations of each segment should also be different. Obviously, the same rule also exists for a scraper flowmeter composed of three pairs of scrapers.

[0016] Further, continuing to take the scraper flowmeter composed of two pairs of scrapers as an example, under a certain set flow, for each revolution of the rotor, the proportion of the pulse duration of each segment N to the pulse duration of four segments 4N is calculated, the total number of revolutions of the rotor in the entire set collection process and the proportion of each segment per revolution are counted, four proportion sets are obtained, four proportion averages are calculated from the four proportion sets, the difference between the maximum value and the minimum value of the four proportion averages is further calculated, and the standard deviation of the four proportion averages is calculated.

[0017] Obviously, the difference and the standard deviation can be used as a basis for judging whether the scraper flowmeter is in an abnormal state; through experience accumulation, the difference is always greater than 0.003 and the standard deviation is always greater than 0.0015 under different flows, which are used as criteria for whether the scraper flowmeter is in an abnormal state.

[0018] Based on the above technical idea, the actual working process of a DN100 scraper flowmeter and a DN150 scraper flowmeter is taken as an example to describe the pulse signal-based scraper flowmeter measurement value checking method in detail, wherein the DN100 scraper flowmeter has a sound abnormality in the working process, which is referred to as an abnormal scraper flowmeter in the following description of the embodiment; the DN150 scraper flowmeter operates normally, which is referred to as a normal scraper flowmeter in the following description of the embodiment.

[0019] The DN100 scraper flowmeter and the DN150 scraper flowmeter are respectively connected in series with a standard volume tube, the equipment connection and the instrument parameter setting are checked, each is operated for 1-5 min under six different flows, and the pulse signals output by the pulse transmitter of the scraper flowmeter under the above six different flows are collected.

[0020] In this embodiment, the six different flows collected are 110 m³ / h, 88 m³ / h, 77 m³ / h, 55 m³ / h, 38.5 m³ / h, and 27.5 m³ / h, 500,000 pulses in the middle are intercepted under each flow, and the number of revolutions corresponding to 500,000 pulses under the six different flows are 88, 73, 63, 47, 33, and 25, respectively.

[0021] Based on the data recorded in the operation process, the pulse signal-based scraper flowmeter measurement value checking method is described in detail, which specifically includes the following steps: Step 1: The pulse signals of the pulse transmitter connected to the scraper flowmeter are collected by the AD module, and the number of pulses sent by the pulse transmitter when the scraper rotates one revolution is calculated according to the gear transmission ratio of the scraper flowmeter.

[0022] Step 2, both DN100 and DN150 paddle flowmeters in this embodiment are two pairs of paddles, when the paddles in the paddle flowmeter rotate a circle, the number of pulses sent by the pulse transmitter is recorded as 4N (N is an integer), that is, the rotation of the paddle is divided into four pulse segments, each pulse segment has N pulses, thereby increasing the resolution of the measurement.

[0023] Because the duration of each pulse is different, the duration of N pulses in each pulse segment is also different. In order to more accurately monitor the pulse change, the duration of N pulses in each pulse segment is divided by the pulse duration of one rotation of the paddle (i.e. 4N), to obtain 4 proportion data close to 0.25 and the sum of 1.

[0024] For each paddle flowmeter, at a fixed flow rate, the 4 proportion data corresponding to the 4 pulse segments are calculated by repeating step 2 every time the paddle rotates a circle. Step 3, in order to reflect the state change of the paddle during continuous rotation, the change of the proportion of the first pulse segment per circle at this flow rate is counted, and similarly, the proportion change of the second, third and fourth pulse segments is counted.

[0028] Figure 2 Figure 2 and DN100 and DN150 paddle flowmeters respectively show the pulse segment proportion statistics of DN100 and DN150 paddle flowmeters at a flow rate of 77 m³ / h.

[0029] The 4 pulse segment proportion statistics of the abnormal DN100 paddle flowmeter are shown in the following table, Figure 3 The 4 pulse segment proportion statistics of the normal DN150 paddle flowmeter are shown in the following table, and the abscissa is the number of paddle rotations at a flow rate of 77 m³ / h. By comparison, although the proportion of each pulse segment changes in a fluctuating state due to the characteristics of the paddle, the fluctuation amplitudes of the four pulse segments of the normal paddle flowmeter are relatively consistent, while the difference between the first and second pulse segments and the second and third pulse segments of the abnormal paddle flowmeter is obvious. It can be concluded that the pulse signal of the abnormal paddle flowmeter is not as stable as that of the normal paddle flowmeter. Figure 3 Step 4, based on the data of step 3, compare the pulse stability of abnormal and normal paddle flowmeters at different flow rates, as follows:

[0030] Step 4.1, using the data of step 3, calculate the average proportion of each pulse segment, and four average proportions can be obtained at each flow rate. In order to determine the stability of the pulse of the paddle flowmeter at this flow rate, calculate the difference between the maximum and minimum of the four average proportions, which is data preparation for step 4.2. At the same time, calculate the standard deviation of the four average proportions, which is data preparation for step 4.3.

[0031] Step 4.2, for each scraper flowmeter, repeat steps 1 to 4.1 under the six flow rates, and six difference values are obtained for each of the scraper flowmeters DN100 and DN150. Figure 2 The difference values of the two scraper flowmeters under the corresponding flow rates calculated from step 4.1 are shown. It can be seen that the difference values of the abnormal scraper flowmeter are always greater than those of the normal scraper flowmeter, indicating that the difference values can be used as a basis for distinguishing whether the scraper flowmeter is abnormal. Figure 2 It can be seen from the figure that the difference values of the normal scraper flowmeter under multiple flow rates are always stable below 0.003, while the difference values of the abnormal scraper flowmeter are always greater than 0.003, so the difference value can be used as a characteristic parameter, and the difference value greater than 0.003 can be used as a judgment standard to measure whether the scraper flowmeter is abnormal.

[0029] Step 4.3, for each scraper flowmeter, repeat steps 1 to 4.1 under the six flow rates, and six standard deviations are obtained for each of the scraper flowmeters DN100 and DN150. Figure 3 The standard deviations of the two scraper flowmeters under the corresponding flow rates calculated from step 4.1 are shown. It can be seen that the standard deviations of the abnormal scraper flowmeter are always greater than those of the normal scraper flowmeter. Through multiple experimental statistics, combined with Figure 3 It can be seen from the figure that the standard deviations of the normal scraper flowmeter under multiple flow rates are always stable below 0.0015, while the standard deviations of the abnormal scraper flowmeter are always greater than 0.0015, so the standard deviation can be used as another characteristic parameter, and the standard deviation greater than 0.0015 can be used as a judgment standard to measure whether the scraper flowmeter is abnormal.

[0030] Of course, when performing value verification of the scraper flowmeter, the difference value and the standard deviation can be used as characteristic parameters at the same time, or only one of them can be selected as a characteristic parameter.

[0031] Therefore, through the difference value analysis of step 4.2 and the standard deviation analysis of step 4.3, it can be seen that the difference value and the standard deviation can be used as characteristic parameters, and through the two characteristic parameters, it can be seen that the pulse signal of the normal scraper flowmeter is more stable than that of the abnormal scraper flowmeter. At the same time, under high flow rate, the rotor rotates at high speed, and the stability of the scraper flowmeter can be more obvious and direct through the pulse signal.

[0032] In summary, the present application proposes a scraper flowmeter value verification method based on pulse signals, which can judge whether the scraper flowmeter is abnormal by segmenting and analyzing the pulse data, so as to ensure the stability and reliability of the scraper flowmeter, reduce the risk of failure in the production process, and further improve the production efficiency and reduce the maintenance cost.

[0033] The above-described embodiments are merely illustrative of the implementation of the present disclosure, which are described in a more specific and detailed manner, but should not be understood as a limitation on the scope of the patent of the present disclosure. It should be noted that, for those skilled in the art, without departing from the concept of the present disclosure, a number of modifications, equivalent replacements, improvements, etc. can be made, which are all within the protection scope of the present disclosure. Therefore, the protection scope of the patent of the present disclosure should be subject to the appended claims.

Claims

1. A method for verifying scraper flow measurement value based on pulse signal, characterized in that: include: Based on the set flow rate, the pulses output for one revolution of the rotor are segmented in such a way that the number of pulses in each segment is the same; Setting a collection period, and counting the pulse duration of each segment in each circle within the collection period based on the segmentation; The scraper flow meter is checked for the value by the pulse duration of each segment in each revolution.

2. The method for verifying scraper flow measurement value according to claim 1, characterized in that: The number of the segments is the number of scrapers of the scraper flowmeter.

3. The method for verifying scraper flow measurement value according to claim 2, characterized in that: The acquisition cycle is measured by acquiring a set number of pulses.

4. The scraper flow measurement value verification method according to claim 3, characterized in that: The method for verifying the value of the scraper flowmeter by the pulse duration of each segment in each circle includes: Based on the set flow rate, obtaining the total number of revolutions of the rotor within the acquisition period; For each circle of the total number of circles, collecting the pulse time of each circle; Calculating the proportion of each segment by dividing the pulse duration by the pulse time to obtain a proportion set of each segment; Calculate the average value of the proportion of each segment under the set flow rate using the proportion set; Calculate the difference between the maximum and minimum values ​​in the average value of the proportion and / or the standard deviation of the average value of the proportion; The value of the scraper flowmeter is checked by using the difference and / or the standard deviation at different set flow rates.

5. The scraper flow measurement value verification method according to claim 4, characterized in that: The method for verifying the value of the scraper flowmeter by using the difference and / or the standard deviation under different set flow rates includes: The difference corresponding to the different set flow rates is always greater than 0.003 and / or the standard deviation is always greater than 0.0015, which is used as a criterion for determining that the scraper flowmeter is in an abnormal state.

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