Differential pressure type flowmeter for measuring high-viscosity fluid and use method of differential pressure type flowmeter

Abstract

The invention relates to the technical field of differential pressure type flow meters, in particular to a differential pressure type flow meter for measuring high-viscosity fluid and a using method thereof.The differential pressure type flow meter comprises a metering stability risk assessment module, and the metering stability risk assessment module combines a calibration result of flow monitoring deviation obtained by a flow interference calibration module to evaluate the metering stability risk of the high-viscosity fluid. And evaluating the stability risk of the metering result of the flowmeter. When the differential pressure type flow meter is used for measuring the high-viscosity fluid, the situation that the fluidity of the fluid changes along with the change of the environment temperature is considered, and optimized calibration of measurement data of the corresponding flow meter is achieved; meanwhile, in consideration of the maintenance demand difference of different flowmeters in the actual use process, the dynamic quantification of the maintenance demand of each flowmeter in the to-be-detected area is realized, and a pipeline worker is assisted to make a decision in the order of cleaning and maintenance operations performed on each flowmeter through the generated early warning detection sequence associated with the flowmeters.

Description

Technical Field

[0001] This invention relates to the field of differential pressure flow meter technology, specifically to a differential pressure flow meter for measuring high-viscosity fluids and its usage method. Background Technology

[0002] A differential pressure flow meter is an instrument commonly used to measure the flow rate of highly viscous fluids. Its working principle is based on the pressure difference generated when fluid flows through the flow meter in a pipe to calculate the fluid flow rate. The components of a differential pressure flow meter typically include: a fluid inlet pipe, a fluid outlet pipe, a differential pressure sensor, and a display. When fluid flows through the flow meter, the fluid experiences different pressures in the inlet and outlet pipes. The differential pressure sensor measures the pressure difference between these two pipes and converts it into a corresponding flow rate value.

[0003] When using differential pressure flow meters to measure high-viscosity fluids, the fluid's flowability changes with ambient temperature, leading to fluctuations in differential pressure or gradual blockage in the pipeline. Consequently, differential pressure flow meters require cleaning and maintenance during use. Current technology often employs periodic cleaning for maintaining differential pressure flow meters measuring high-viscosity fluids. However, this method has significant drawbacks, failing to consider the varying maintenance needs of different flow meters in actual use. If the periodic cleaning and maintenance intervals are set too long, it can affect the accuracy of the flow meter's readings for high-viscosity fluids; conversely, setting the intervals too short increases cleaning and maintenance costs, making it time-consuming and labor-intensive. Summary of the Invention

[0004] The purpose of this invention is to provide a differential pressure flow meter for measuring high-viscosity fluids and its usage method, so as to solve the problems mentioned in the background art.

[0005] To solve the above-mentioned technical problems, the present invention provides the following technical solution: a differential pressure flow meter for measuring high-viscosity fluids, comprising the following modules: A differential pressure measurement module is used to obtain the pressure difference between two corresponding pressure taps in the flow meter. The pipe blockage analysis module analyzes the fluid characteristic information of the high-viscosity fluid to be tested in the pipe under test. The fluid characteristic information includes the fluid flow relationship function and the pipe blockage characteristic function. The flow interference calibration module is used to calibrate the flow monitoring deviation caused by environmental influences in the pipeline under test, and to feed back the calibration results to the flow data storage terminal in real time. The metering stability risk assessment module, in conjunction with the calibration results of the flow monitoring deviation obtained by the flow interference calibration module, assesses the stability risk of the flowmeter's metering results. The maintenance early warning management module acquires the stability risk assessment results of the flow meters and, combined with the location information of each flow meter connected via a wireless network within the test area, generates an early warning detection sequence for the associated flow meters.

[0006] Furthermore, the pressure monitoring data corresponding to each pressure tap in the differential pressure measurement module is obtained by a pressure sensor; the pressure difference between the pressure taps in the flow meter obtained in the differential pressure measurement module is equal to the absolute value of the difference between the pressure monitoring data corresponding to the two pressure taps.

[0007] In this invention, the two pressure taps in the differential pressure flow meter are set at different positions, and the pressure taps are respectively set before and after the throttling device in the corresponding flow meter; the pressure difference is positively correlated with the flow rate (velocity) passing through the flow meter. For example, the differential pressure orifice plate flow meter derives the relationship between differential pressure and flow rate based on the principle of flow continuity and Bernoulli's equation to obtain the flow rate.

[0008] Furthermore, during the process of analyzing the fluid flow relationship function of the high-viscosity fluid in the pipe under test by the pipe blockage analysis module, To obtain the fluid flow velocity corresponding to each ambient temperature under the same pressure difference when the corresponding flow meter is monitoring the high viscosity fluid to be measured from historical data, construct flow performance data pairs, denoted as {A1, A2, A3}, where A1 represents the pressure difference of the corresponding flow meter; A2 represents the ambient temperature of the corresponding flow meter; and A3 represents the fluid flow velocity monitored by the flow velocity sensor built into the corresponding flow meter. The historical data pairs with the same A1 are summarized, and a Cartesian coordinate system is constructed with ambient temperature as the horizontal axis and fluid flow velocity as the vertical axis. The coordinate points of each summarized fluid performance data pair in the constructed Cartesian coordinate system are marked. Adjacent marked coordinate points are connected in ascending order of horizontal coordinate value, and the function corresponding to the resulting broken line is denoted as the fluidity relationship function corresponding to A1. The fluidity relationship functions corresponding to different values ​​of A1 are summarized to obtain the fluidity relationship function in the corresponding fluid characteristic information.

[0009] Furthermore, during the process of analyzing the fluid characteristic information and internal pipe blockage characteristic function of the high-viscosity fluid in the pipe under test by the pipe blockage analysis module, The function obtained from historical data shows the relationship between the percentage of congested cross-section in the flow pipe and the fluid flow time when the corresponding flow meter monitors the high-viscosity fluid to be measured, assuming the fluid flow velocity and ambient temperature remain constant. The percentage of congested cross-section in the flow pipe is represented by the quotient of the difference between the first and second cross-sectional areas of the flow pipe divided by the first cross-sectional area, where the first cross-sectional area represents the area of ​​the cross-section corresponding to the inner diameter of the flow pipe. The second cross-sectional area represents the quotient obtained by dividing the preset amount of the high-viscosity fluid to be measured by the product of the corresponding fluid flow velocity and the required total flow time when the corresponding flow pipe flows the preset amount of the high-viscosity fluid to be measured at the corresponding fluid flow velocity. The relationship between the proportion of congested cross sections of each flow pipe and the fluid flow time is summarized for different fluid flow velocities and ambient temperatures, and the summarized results are recorded as the pipe blockage characteristic function in the corresponding fluid characteristic information.

[0010] In this invention, when the pipe blockage analysis module analyzes the fluid characteristic information of the high-viscosity fluid to be tested in the pipeline, it considers that the fluidity of the high-viscosity fluid will change due to differences in ambient temperature. Furthermore, when the fluidity of the high-viscosity fluid changes, the flow velocity of the high-viscosity fluid passing through the flowmeter will also differ under the same pressure difference, thus altering the actual flow rate of the high-viscosity fluid passing through the flowmeter. Moreover, when the fluidity of the high-viscosity fluid changes, the pipe blockage situation of the high-viscosity fluid within the corresponding flowmeter will also change accordingly, further affecting the monitoring results of the corresponding flowmeter. Therefore, the pipe blockage analysis module's analysis of the fluid characteristic information of the high-viscosity fluid to be tested in the pipeline provides data support for the calibration of the flowmeter's flow monitoring results in subsequent steps.

[0011] Furthermore, during the calibration process of the flow interference calibration module to correct the flow monitoring deviation caused by environmental influences in the pipeline under test, the module acquires the fluid characteristic information of the high-viscosity fluid to be tested in the pipeline under test, and calculates the flow monitoring deviation caused by environmental influences in the pipeline under test based on the acquired fluid characteristic information. The flow monitoring deviation caused by environmental influences in the pipeline under test during the time period from the most recent manual flowmeter inspection to the current time is recorded as P. , Where T represents the interval between the most recent manual inspection of the flow meter and the current time; t∈[0,T]; Yt represents the pressure difference monitored by the flow meter when the interval between the current time and the historical data is t; M represents the first cross-sectional area of ​​the flow pipe through which the high viscosity fluid to be tested flows; Wt represents the ambient temperature monitored by the flow meter when the interval between the current time and the historical data is t. V{Yt, Wt} represents the fluid flow velocity corresponding to the ambient temperature Wt in the flow relationship function with pressure difference Yt when the corresponding flow meter is monitoring the high-viscosity fluid to be measured in historical data; H{V{Yt,Wt},Wt,t} represents the percentage of the congested cross-section of the flow pipe as a function of fluid flow time t, where the fluid flow velocity is V{Yt,Wt} and the ambient temperature is Wt.

[0012] Furthermore, the metering stability risk assessment module acquires the flow monitoring deviation P caused by environmental influences within the pipeline under test, and assesses the stability risk of the flowmeter's measurement results based on the obtained flow monitoring deviation, recording the obtained stability risk assessment result as GP. , Wherein, E1P represents the flow rate value monitored by the corresponding flow meter in the pipe under test within the time period corresponding to P; E2P represents the average flow monitoring result of the flow meter monitoring the high viscosity fluid under test each time it was manually tested in the historical data; T1P represents the average time interval between two consecutive manual tests of the flow meter monitoring the high viscosity fluid under test in the historical data; and T2P represents the length of the corresponding interval in the time period corresponding to P. r1 and r2 are both risk assessment coefficients, and r1 and r2 are preset constants in the database.

[0013] Furthermore, during the process of generating the early warning detection sequence of the associated flow meters, the maintenance early warning management module obtains the location information of each flow meter connected to the test area via a wireless network. The location information is GPS positioning information, and the test area is a pre-set area in the database. The flow meters connected wirelessly within the test area are aggregated into a blank set to obtain the first flow meter statistical set; By combining the location information of each flow meter, the correlation between the flow meters corresponding to each element in the first flow meter statistical set is determined. In the first set of flow meter statistics, it is determined that there is a correlation between the flow meters connected to the corresponding location information in the flow pipe; otherwise, it is determined that there is no correlation between the corresponding flow meters. Calculate the detection interference impact value for each flowmeter in the first flowmeter statistical set, and denote the detection interference impact value for the i-th flowmeter in the first flowmeter statistical set as Fi. Fi = GPLi·Ni / NZ Wherein, GPLi represents the most recent stability risk assessment result corresponding to the i-th flowmeter in the first flowmeter statistics set; Ni represents the number of flowmeters in the first flowmeter statistics set that are related to the i-th flowmeter; NZ represents the total number of elements in the first flowmeter statistics set; The flow meters in the test area are sorted in ascending order of their respective interference impact values ​​to generate an early warning detection sequence for the associated flow meters. This sequence is then fed back to the relevant administrators to assist them in making inspection decisions for each flow meter carrying the high-viscosity fluid to be tested.

[0014] Furthermore, a method of using a differential pressure flow meter for measuring high-viscosity fluids includes the following steps: S1. Obtain the pressure difference between the two corresponding pressure taps in the flow meter; S2. Analyze the fluid characteristic information of the high-viscosity fluid to be tested in the pipeline; S3. Calibrate the flow monitoring deviation caused by environmental influences in the pipeline under test, and feed back the calibration results to the flow data storage terminal in real time. S4. Based on the calibration results of the flow monitoring deviation obtained in S3, assess the stability risk of the flow meter's measurement results; S5. Obtain the stability risk assessment results of the flow meters, combine them with the location information of each flow meter connected to the wireless network in the area to be tested, generate an early warning detection sequence for the associated flow meters, and feed it back to the administrator.

[0015] Compared with existing technologies, the beneficial effects achieved by this invention are as follows: When using differential pressure flowmeters to measure high-viscosity fluids, this invention considers that the fluid's flowability changes with ambient temperature. Therefore, based on historical measurement data of flowmeters handling high-viscosity fluids, it analyzes the influence of ambient temperature on differential pressure and fluid blockage within the pipeline; it also optimizes and calibrates the measurement data of the corresponding flowmeters. Furthermore, considering the differences in maintenance requirements among different flowmeters during actual use, it dynamically quantifies the maintenance needs of each flowmeter within the measurement area. Through the generated early warning detection sequence of associated flowmeters, it assists pipeline operators in deciding the order in which cleaning and maintenance operations should be performed on each flowmeter. Attached Figure Description

[0016] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used in conjunction with embodiments of the invention to explain the invention and do not constitute a limitation thereof. In the drawings: Figure 1 This is a schematic diagram of the module structure of a differential pressure flow meter for measuring high-viscosity fluids according to the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 The present invention provides a technical solution: a differential pressure flow meter for measuring high-viscosity fluids, comprising the following modules: A differential pressure measurement module is used to obtain the pressure difference between two corresponding pressure taps in the flow meter. The pressure monitoring data corresponding to each pressure tap in the differential pressure measurement module is obtained by a pressure sensor; the pressure difference between the pressure taps in the flow meter obtained in the differential pressure measurement module is equal to the absolute value of the difference between the pressure monitoring data corresponding to the two pressure taps.

[0019] The pipe blockage analysis module analyzes the fluid characteristic information of the high-viscosity fluid to be tested in the pipe under test. The fluid characteristic information includes the fluid flow relationship function and the pipe blockage characteristic function. During the process of analyzing the fluid flow relationship function of the high-viscosity fluid in the pipe under test by the pipe blockage analysis module, To obtain the fluid flow velocity corresponding to each ambient temperature under the same pressure difference when the corresponding flow meter is monitoring the high viscosity fluid to be measured from historical data, construct flow performance data pairs, denoted as {A1, A2, A3}, where A1 represents the pressure difference of the corresponding flow meter; A2 represents the ambient temperature of the corresponding flow meter; and A3 represents the fluid flow velocity monitored by the flow velocity sensor built into the corresponding flow meter. The historical data pairs with the same A1 are summarized, and a Cartesian coordinate system is constructed with ambient temperature as the horizontal axis and fluid flow velocity as the vertical axis. The coordinate points of each summarized fluid performance data pair in the constructed Cartesian coordinate system are marked. Adjacent marked coordinate points are connected in ascending order of horizontal coordinate value, and the function corresponding to the resulting broken line is denoted as the fluidity relationship function corresponding to A1. The fluidity relationship functions corresponding to different values ​​of A1 are summarized to obtain the fluidity relationship function in the corresponding fluid characteristic information.

[0020] During the process of analyzing the fluid characteristics and internal pipe blockage characteristic functions of the high-viscosity fluid in the pipe under test by the pipe blockage analysis module, The function obtained from historical data shows the relationship between the percentage of congested cross-section in the flow pipe and the fluid flow time when the corresponding flow meter monitors the high-viscosity fluid to be measured, assuming the fluid flow velocity and ambient temperature remain constant. The percentage of congested cross-section in the flow pipe is represented by the quotient of the difference between the first and second cross-sectional areas of the flow pipe divided by the first cross-sectional area, where the first cross-sectional area represents the area of ​​the cross-section corresponding to the inner diameter of the flow pipe. The second cross-sectional area represents the quotient obtained by dividing the preset amount of the high-viscosity fluid to be measured by the product of the corresponding fluid flow velocity and the required total flow time when the corresponding flow pipe flows the preset amount of the high-viscosity fluid to be measured at the corresponding fluid flow velocity. In this embodiment, the function relating the proportion of congested sections in the flow channel to the fluid flow time is obtained using the method described above. First, a coordinate system is constructed. Then, data pairs consisting of the proportion of congested sections in each flow channel and the corresponding fluid flow time are obtained from historical data. Next, each data pair is marked in the constructed coordinate system and adjacent marked points are connected. The function corresponding to the resulting broken line is the function relating the proportion of congested sections in the flow channel to the fluid flow time.

[0021] The relationship between the proportion of congested cross sections of each flow pipe and the fluid flow time is summarized for different fluid flow velocities and ambient temperatures, and the summarized results are recorded as the pipe blockage characteristic function in the corresponding fluid characteristic information.

[0022] The flow interference calibration module is used to calibrate the flow monitoring deviation caused by environmental influences in the pipeline under test, and to feed back the calibration results to the flow data storage terminal in real time. During the calibration process of the flow interference calibration module for flow monitoring deviation caused by environmental influences in the pipeline under test, the module acquires the fluid characteristic information of the high-viscosity fluid to be tested in the pipeline under test, and calculates the flow monitoring deviation caused by environmental influences in the pipeline under test based on the acquired fluid characteristic information. The flow monitoring deviation caused by environmental influences in the pipeline under test during the time period from the most recent manual flowmeter inspection to the current time is recorded as P. , Where T represents the interval between the most recent manual inspection of the flow meter and the current time; t∈[0,T]; Yt represents the pressure difference monitored by the flow meter when the interval between the current time and the historical data is t; M represents the first cross-sectional area of ​​the flow pipe through which the high viscosity fluid to be tested flows; Wt represents the ambient temperature monitored by the flow meter when the interval between the current time and the historical data is t. V{Yt, Wt} represents the fluid flow velocity corresponding to the ambient temperature Wt in the flow relationship function with pressure difference Yt when the corresponding flow meter is monitoring the high-viscosity fluid to be measured in historical data; H{V{Yt,Wt},Wt,t} represents the percentage of the congested cross-section of the flow pipe as a function of fluid flow time t, where the fluid flow velocity is V{Yt,Wt} and the ambient temperature is Wt.

[0023] The metering stability risk assessment module, in conjunction with the calibration results of the flow monitoring deviation obtained by the flow interference calibration module, assesses the stability risk of the flowmeter's metering results. The metering stability risk assessment module acquires the flow monitoring deviation P caused by environmental influences within the pipeline under test, and assesses the stability risk of the flowmeter's measurement results based on the obtained flow monitoring deviation. The obtained stability risk assessment result is recorded as GP. , Wherein, E1P represents the flow rate value monitored by the corresponding flow meter in the pipe under test within the time period corresponding to P; E2P represents the average flow monitoring result of the flow meter monitoring the high viscosity fluid under test each time it was manually tested in the historical data; T1P represents the average time interval between two consecutive manual tests of the flow meter monitoring the high viscosity fluid under test in the historical data; and T2P represents the length of the corresponding interval in the time period corresponding to P. r1 and r2 are both risk assessment coefficients, and r1 and r2 are preset constants in the database.

[0024] The maintenance early warning management module acquires the stability risk assessment results of the flow meters and, combined with the location information of each flow meter connected via a wireless network within the test area, generates an early warning detection sequence for the associated flow meters.

[0025] During the process of generating the early warning detection sequence of the associated flow meters, the maintenance early warning management module obtains the location information of each flow meter connected to the test area via a wireless network. The location information is GPS positioning information, and the test area is a pre-set area in the database. The flow meters connected wirelessly within the test area are aggregated into a blank set to obtain the first flow meter statistical set; By combining the location information of each flow meter, the correlation between the flow meters corresponding to each element in the first flow meter statistical set is determined. In the first set of flow meter statistics, it is determined that there is a correlation between the flow meters connected to the corresponding location information in the flow pipe; otherwise, it is determined that there is no correlation between the corresponding flow meters. Calculate the detection interference impact value for each flowmeter in the first flowmeter statistical set, and denote the detection interference impact value for the i-th flowmeter in the first flowmeter statistical set as Fi. Fi = GPLi·Ni / NZ Wherein, GPLi represents the most recent stability risk assessment result corresponding to the i-th flowmeter in the first flowmeter statistics set; Ni represents the number of flowmeters in the first flowmeter statistics set that are related to the i-th flowmeter; NZ represents the total number of elements in the first flowmeter statistics set; The flow meters in the test area are sorted in ascending order of their respective interference impact values ​​to generate an early warning detection sequence for the associated flow meters. This sequence is then fed back to the relevant administrators to assist them in making inspection decisions for each flow meter carrying the high-viscosity fluid to be tested.

[0026] The associated flow meter warning detection sequence generated in this embodiment is only a reference for the administrator. In actual use, the administrator will not maintain all the flow meters in the obtained associated flow meter warning detection sequence. If a flow meter in the obtained associated flow meter warning detection sequence is maintained by the administrator, the maintenance time of the flow meter is recorded, and the time point of the most recent manual inspection of the flow meter in the historical data is updated. The most recently recorded maintenance time of the flow meter by the administrator is used as the update result of the most recent manual inspection time of the flow meter in the historical data.

[0027] A method of using a differential pressure flow meter for measuring high-viscosity fluids, the method comprising the following steps: S1. Obtain the pressure difference between the two corresponding pressure taps in the flow meter; S2. Analyze the fluid characteristic information of the high-viscosity fluid to be tested in the pipeline; S3. Calibrate the flow monitoring deviation caused by environmental influences in the pipeline under test, and feed back the calibration results to the flow data storage terminal in real time. S4. Based on the calibration results of the flow monitoring deviation obtained in S3, assess the stability risk of the flow meter's measurement results; S5. Obtain the stability risk assessment results of the flow meters, combine them with the location information of each flow meter connected to the wireless network in the area to be tested, generate an early warning detection sequence for the associated flow meters, and feed it back to the administrator.

[0028] The method of using the differential pressure flow meter in this embodiment also includes the following: Install the flow meter: Install the flow meter on the fluid pipeline and ensure that the inlet and outlet pipes are connected correctly and sealed well; Calibrate the flow meter: The flow meter is calibrated according to the properties of the fluid and the operating conditions to ensure its measurement accuracy; To start the flow meter: Open the fluid pipeline valve to allow the fluid to flow through the flow meter; Read flow data: Fluid flow data can be read in real time through the display, and recorded and analyzed as needed; Monitor the status of flow meters: determine the stability risk assessment results of flow meters, generate early warning detection sequences for associated flow meters, and provide feedback to the administrator.

[0029] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.

[0030] Finally, it should be noted that the above descriptions are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A differential pressure flow meter for measuring high-viscosity fluids, characterized in that, Includes the following modules: A differential pressure measurement module is used to obtain the pressure difference between two corresponding pressure taps in the flow meter. The pipe blockage analysis module analyzes the fluid characteristic information of the high-viscosity fluid to be tested in the pipe under test. The fluid characteristic information includes the fluid flow relationship function and the pipe blockage characteristic function. The flow interference calibration module is used to calibrate the flow monitoring deviation caused by environmental influences in the pipeline under test, and to feed back the calibration results to the flow data storage terminal in real time. The metering stability risk assessment module, in conjunction with the calibration results of the flow monitoring deviation obtained by the flow interference calibration module, assesses the stability risk of the flowmeter's metering results. The maintenance early warning management module acquires the stability risk assessment results of the flow meters and, combined with the location information of each flow meter connected via a wireless network within the test area, generates an early warning detection sequence for the associated flow meters.

2. The differential pressure flow meter for measuring high-viscosity fluids according to claim 1, characterized in that: The pressure monitoring data corresponding to each pressure tap in the differential pressure measurement module is obtained by a pressure sensor; the pressure difference between the pressure taps in the flow meter obtained in the differential pressure measurement module is equal to the absolute value of the difference between the pressure monitoring data corresponding to the two pressure taps.

3. A differential pressure flow meter for measuring high-viscosity fluids according to claim 1, characterized in that: During the process of analyzing the fluid flow relationship function of the high-viscosity fluid in the pipe under test by the pipe blockage analysis module, To obtain the fluid flow velocity corresponding to each ambient temperature under the same pressure difference when the corresponding flow meter is monitoring the high viscosity fluid to be measured from historical data, construct flow performance data pairs, denoted as {A1, A2, A3}, where A1 represents the pressure difference of the corresponding flow meter; A2 represents the ambient temperature of the corresponding flow meter; and A3 represents the fluid flow velocity monitored by the flow velocity sensor built into the corresponding flow meter. The historical data pairs with the same A1 are summarized, and a Cartesian coordinate system is constructed with ambient temperature as the horizontal axis and fluid flow velocity as the vertical axis. The coordinate points of each summarized fluid performance data pair in the constructed Cartesian coordinate system are marked. Adjacent marked coordinate points are connected in ascending order of horizontal coordinate value, and the function corresponding to the resulting broken line is denoted as the fluidity relationship function corresponding to A1. The fluidity relationship functions corresponding to different values ​​of A1 are summarized to obtain the fluidity relationship function in the corresponding fluid characteristic information.

4. A differential pressure flow meter for measuring high-viscosity fluids according to claim 3, characterized in that: During the process of analyzing the fluid characteristics and internal pipe blockage characteristic functions of the high-viscosity fluid in the pipe under test by the pipe blockage analysis module, The function obtained from historical data shows the relationship between the percentage of congested cross-section in the flow pipe and the fluid flow time when the corresponding flow meter monitors the high-viscosity fluid to be measured, assuming the fluid flow velocity and ambient temperature remain constant. The percentage of congested cross-section in the flow pipe is represented by the quotient of the difference between the first and second cross-sectional areas of the flow pipe divided by the first cross-sectional area, where the first cross-sectional area represents the area of ​​the cross-section corresponding to the inner diameter of the flow pipe. The second cross-sectional area represents the quotient obtained by dividing the preset amount of the high-viscosity fluid to be measured by the product of the corresponding fluid flow velocity and the required total flow time when the corresponding flow pipe flows the preset amount of the high-viscosity fluid to be measured at the corresponding fluid flow velocity. The relationship between the proportion of congested cross sections of each flow pipe and the fluid flow time is summarized for different fluid flow velocities and ambient temperatures, and the summarized results are recorded as the pipe blockage characteristic function in the corresponding fluid characteristic information.

5. A differential pressure flow meter for measuring high-viscosity fluids according to claim 4, characterized in that: During the calibration process of the flow interference calibration module for flow monitoring deviation caused by environmental influences in the pipeline under test, the module acquires the fluid characteristic information of the high-viscosity fluid to be tested in the pipeline under test, and calculates the flow monitoring deviation caused by environmental influences in the pipeline under test based on the acquired fluid characteristic information. The flow monitoring deviation caused by environmental influences in the pipeline under test during the time period from the most recent manual flowmeter inspection to the current time is recorded as P. ， Where T represents the interval between the most recent manual inspection of the flow meter and the current time; t∈[0,T]; Yt represents the pressure difference monitored by the flow meter when the interval between the current time and the historical data is t; M represents the first cross-sectional area of ​​the flow pipe through which the high viscosity fluid to be tested flows; Wt represents the ambient temperature monitored by the flow meter when the interval between the current time and the historical data is t. V{Yt, Wt} represents the fluid flow velocity corresponding to the ambient temperature Wt in the flow relationship function with pressure difference Yt when the corresponding flow meter is monitoring the high viscosity fluid to be measured in historical data; H{V{Yt,Wt},Wt,t} represents the percentage of the congested cross-section of the flow pipe as a function of fluid flow time t, where the fluid flow velocity is V{Yt,Wt} and the ambient temperature is Wt.

6. A differential pressure flow meter for measuring high-viscosity fluids according to claim 5, characterized in that: The metering stability risk assessment module acquires the flow monitoring deviation P caused by environmental influences within the pipeline under test, and assesses the stability risk of the flowmeter's measurement results based on the obtained flow monitoring deviation. The obtained stability risk assessment result is recorded as GP. ， Wherein, E1P represents the flow rate value monitored by the corresponding flow meter in the pipe under test within the time period corresponding to P; E2P represents the average flow monitoring result of the flow meter monitoring the high viscosity fluid under test each time it was manually tested in the historical data; T1P represents the average time interval between two consecutive manual tests of the flow meter monitoring the high viscosity fluid under test in the historical data; and T2P represents the length of the corresponding interval in the time period corresponding to P. r1 and r2 are both risk assessment coefficients, and r1 and r2 are preset constants in the database.

7. A differential pressure flow meter for measuring high-viscosity fluids according to claim 1, characterized in that: During the process of generating the early warning detection sequence of the associated flow meters, the maintenance early warning management module obtains the location information of each flow meter connected to the test area via a wireless network. The location information is GPS positioning information, and the test area is a pre-set area in the database. The flow meters connected wirelessly within the test area are aggregated into a blank set to obtain the first flow meter statistical set; By combining the location information of each flow meter, the correlation between the flow meters corresponding to each element in the first flow meter statistical set is determined. In the first set of flow meter statistics, it is determined that there is a correlation between the flow meters connected to the corresponding location information in the flow pipe; otherwise, it is determined that there is no correlation between the corresponding flow meters. Calculate the detection interference impact value for each flowmeter in the first flowmeter statistical set, and denote the detection interference impact value for the i-th flowmeter in the first flowmeter statistical set as Fi. Fi = GPLi·Ni / NZ Wherein, GPLi represents the most recent stability risk assessment result corresponding to the i-th flowmeter in the first flowmeter statistics set; Ni represents the number of flowmeters in the first flowmeter statistics set that are related to the i-th flowmeter; NZ represents the total number of elements in the first flowmeter statistics set; The flow meters in the test area are sorted in ascending order of their respective interference impact values ​​to generate an early warning detection sequence for the associated flow meters. This sequence is then fed back to the relevant administrators to assist them in making inspection decisions for each flow meter carrying the high-viscosity fluid to be tested.

8. A method of using a differential pressure flow meter for measuring high-viscosity fluids, applied to the differential pressure flow meter for measuring high-viscosity fluids as described in any one of claims 1-7, characterized in that, The usage method includes the following steps: S1. Obtain the pressure difference between the two corresponding pressure taps in the flow meter; S2. Analyze the fluid characteristics of the high-viscosity fluid to be tested in the pipeline; S3. Calibrate the flow monitoring deviation caused by environmental influences in the pipeline under test, and feed back the calibration results to the flow data storage terminal in real time. S4. Based on the calibration results of the flow monitoring deviation obtained in S3, assess the stability risk of the flow meter's measurement results; S5. Obtain the stability risk assessment results of the flow meters, combine them with the location information of each flow meter connected to the wireless network in the area to be tested, generate an early warning detection sequence for the associated flow meters, and feed it back to the administrator.

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