Oiling machine with pipeline monitoring function

Abstract

The invention discloses an oiling machine with a pipeline monitoring function, relates to the technical field of oiling machine monitoring, and solves the technical problems that intelligent analysis is difficult to carry out according to pipeline operation data and oil product characteristic changes, and an effective abnormal early warning and oil outlet amount compensation adjustment scheme cannot be automatically generated. Through the super-threshold analysis unit and the low-threshold analysis unit, whether the pipeline pressure is abnormal or not and whether the flow is in a normal range or not can be accurately judged, the problems of pipeline leakage, blockage and the like can be found in time, the operation safety of the gas station is greatly improved, and the super-threshold analysis unit can accurately judge whether the pipeline pressure is abnormal or not according to comparison between real-time pressure and set standard pressure. The pressure abnormal condition is rapidly judged, a detailed abnormal reason report is generated, based on accurate calculation of oil product temperature changes and expansion coefficients and deep analysis of the relation between oil product viscosity and flow, the oil outlet amount can be accurately compensated and adjusted according to the actual condition, and metering errors are reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of fuel dispenser monitoring, and specifically to a fuel dispenser with a pipeline monitoring function. Background Art

[0002] During the traditional refueling operation, the monitoring of the fuel dispenser pipeline often relies on relatively simple equipment and methods. Currently, the methods for pipeline monitoring mainly include the pressure gradient method and the pressure wave monitoring method.

[0003] According to the patent application with the publication number CN103542990A, a fuel dispenser pipeline monitoring method is disclosed. This method calculates the efficiency flow ratio in the fuel dispenser pumping system by collecting the flow signal and current signal of the fuel dispenser, and judges the efficiency flow ratio and the flow signal to achieve the monitoring of the fuel dispenser pipeline.

[0004] However, in most cases, only a rough monitoring of some basic parameters such as flow rate can be achieved, and it is impossible to comprehensively and accurately grasp the pressure and temperature changes of the oil products in the pipeline and the flow rate fluctuations under different working conditions. Moreover, in terms of metering, it is also difficult to perform real-time and accurate compensation adjustments according to the characteristics of the oil products (such as the influence of temperature and viscosity on volume). With the expansion of the operation scale of gas stations and the continuous improvement of the requirements for the safety and accuracy of refueling operations, the traditional monitoring and metering methods are gradually difficult to meet the actual needs. Summary of the Invention

[0005] In view of the deficiencies of the prior art, the present invention provides a fuel dispenser with a pipeline monitoring function, which solves the problems that it is difficult to perform intelligent analysis based on the pipeline operation data and the changes in the characteristics of the oil products, and it is impossible to automatically generate effective abnormal warning and oil output compensation adjustment schemes.

[0006] To achieve the above objectives, the present invention is realized through the following technical solutions: A fuel dispenser with a pipeline monitoring function includes a fuel dispenser main body, a fuel dispenser pipeline, and a main control module. The main control module includes: A pipeline efficiency flow analysis unit, which is used to calculate the efficiency flow according to the pipeline information transmitted by the fuel pipeline information collection unit, compare it with a threshold value, generate a low threshold signal or a high threshold signal, and transmit it at the same time; An over-threshold analysis unit, which is used to analyze the high threshold signal, compare the real-time pressure of the pipeline with the standard pressure, and generate an abnormal cause or a normal pressure signal; Analyze the normal pressure signal, analyze the relationship between the oil product and the temperature change, calculate the expansion coefficient of the oil product, and calculate the actual oil output according to the formula And calculate the difference between it and the real-time oil output, generate compensation information, and transmit it to the monitoring information output unit; A low-threshold analysis unit is used to analyze low-threshold signals, determine the normal flow range according to historical data, match it with the current pipeline flow, and generate a secondary analysis signal or flow anomaly information; Process the secondary analysis signal, judge the influence relationship between temperature and flow, generate a signal indicating the existence of influence or a signal indicating the non-existence of influence, and further analyze the signal indicating the non-existence of influence to generate metering system anomaly information; Analyze the signal indicating the existence of influence, analyze the relationship between temperature and oil viscosity, calculate the flow correction coefficient according to the relationship between viscosity and flow, and calculate the compensated flow at the same time, generate compensation information, and transmit it to the monitoring information output unit.

[0007] As a further solution of the present invention, it further includes a refueling pipeline information acquisition unit and a monitoring information output unit; The refueling pipeline information acquisition unit is used to collect pipeline information of the refueling pipeline through different sensors and transmit it to the pipeline efficiency flow analysis unit, and the pipeline information includes pressure, temperature and flow; The monitoring information output unit is used to display the obtained abnormal reasons to the corresponding operators, and at the same time transmit the obtained compensation information to the fuel dispenser main body and perform refueling compensation adjustment.

[0008] As a further solution of the present invention, the specific manner in which the pipeline efficiency flow analysis unit generates a low-threshold signal or a high-threshold signal is: According to the formula Calculate the efficiency flow ratio, compare the obtained efficiency flow ratio with the threshold, and the specific value of the threshold is set by the operator; If the efficiency flow ratio is less than the threshold, generate a low-threshold signal and transmit it to the low-threshold analysis unit. On the contrary, if the efficiency flow ratio is greater than the threshold, generate a high-threshold signal and transmit it to the high-threshold analysis unit.

[0009] As a further solution of the present invention, the specific manner in which the over-threshold analysis unit analyzes the high-threshold signal is: Obtain the pressure in the pipeline information as the real-time pressure, and compare the obtained real-time pressure with the standard pressure. If the real-time pressure becomes smaller, take the decrease of the real-time pressure as the specific anomaly, generate the abnormal reason, and transmit it to the monitoring information output unit at the same time. If the real-time pressure remains unchanged, generate a pressure normal signal.

[0010] As a further solution of the present invention, the specific manner in which the over-threshold analysis unit analyzes the pressure normal signal is: Analyze the relationship between the current oil product and the temperature change, obtain the real-time temperature of the current oil product denoted as t 1 , and record the oil output volume V corresponding to the fuel dispenser at the standard temperature 0, calculate the real-time temperature t 1 The temperature change amount from the standard temperature is denoted as , calculate the expansion coefficient of the current oil product for calculation ; According to the formula Calculate the actual oil output V 1 , and at the same time, taking the calculated actual oil output V 1 as the standard, obtain the real-time oil output V now , calculate the difference between the two and denote it as the compensation value, and generate compensation information based on the calculated compensation value, and at the same time transmit it to the monitoring information output unit.

[0011] As a further solution of the present invention, the specific method for the over-threshold analysis unit to calculate the expansion coefficient of the current oil product is as follows: Obtain the initial volume R of the current sample oil product 1 , and place the sample in an environment where the temperature can be precisely controlled, gradually increase or decrease the temperature, and each time the temperature is changed, wait for enough time for the oil product to reach thermal equilibrium, and then measure the volume R of the oil product at different temperatures 2 , and at the same time according to the formula Calculate the expansion coefficient of the current oil product .

[0012] As a further solution of the present invention, the specific method for the low-threshold analysis unit to analyze the low-threshold signal is as follows: Obtain historical data, determine the normal flow range of the refueling pipeline accordingly, then obtain the current pipeline flow, compare it with the normal range, if the current flow is within the range, determine that the flow is normal and generate a secondary analysis signal; If it is not within the range, determine that the flow is abnormal, generate abnormal information and transmit it to the monitoring information output unit.

[0013] As a further solution of the present invention, the specific method for the low-threshold analysis unit to process the secondary analysis signal is as follows: Obtain the current temperature and judge whether the current temperature affects the flow of the refueling pipeline, and generate a signal indicating the presence or absence of an impact. For the generated signal indicating the absence of an impact, generate metering system abnormal information and transmit it to the monitoring information output unit. For the generated signal indicating the presence of an impact, further analysis is carried out.

[0014] As a further solution of the present invention, the specific method for the low-threshold analysis unit to analyze the signal indicating the presence of an impact is as follows: According to the formula Calculate the oil product viscosity corresponding to the current temperature T now at , where A is a constant, E is the activation energy of viscous flow, K is the gas constant, and T now is the real-time temperature; Obtain the viscosity corresponding to the current oil product at the standard temperature and denote it as , and calculate the oil product viscosity and The numerical difference of is denoted as , and at the same time, according to the formula Analyze the relationship between viscosity and flow rate. Among them, Q is the actual flow rate, and Q 0 is the standard viscosity at the flow rate under, is the actually measured viscosity, n is a constant related to the system, and substitute the obtained parameters into the formula Calculate the flow correction coefficient k Q ; Obtain the original set value Q set0 , and according to the formula Calculate the compensated flow rate value Q set , and at the same time, generate compensation information based on it and transmit it to the monitoring information output unit.

[0015] The present invention provides a fuel dispenser with a pipeline monitoring function. Compared with the prior art, it has the following beneficial effects: Through the fuel filling pipeline information collection unit of the present invention, a variety of sensors are used to comprehensively collect the pressure, temperature and flow rate information of the pipeline, and with the help of the over-threshold analysis unit and the low-threshold analysis unit, it can accurately judge whether the pipeline pressure is abnormal and whether the flow rate is within the normal range, and timely discover problems such as pipeline leakage and blockage, greatly improving the safety of gas station operation. The over-threshold analysis unit can quickly determine the abnormal pressure situation and generate a detailed abnormal cause report based on the comparison of the real-time pressure and the set standard pressure. Based on the accurate calculation of the oil product temperature change and expansion coefficient, and the in-depth analysis of the relationship between the oil product viscosity and flow rate, it can accurately compensate and adjust the oil output according to the actual situation, reducing the measurement error. Description of the Drawings

[0016] Figure 1 It is a functional unit block diagram of the control module of the present invention. Specific Embodiments

[0017] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] Embodiment 1 Please refer to Figure 1 , this application provides a fuel dispenser with pipeline monitoring function. The fuel dispenser includes a fuel dispenser main body, a fuel dispenser pipeline and a main control module. The main control includes multiple functional units, specifically a fuel pipeline information acquisition unit, a pipeline efficiency flow analysis unit, a super-threshold analysis unit, a low-threshold analysis unit and a monitoring information output unit, and combined with Figure 1 it can be known that the above functional units are unidirectionally electrically connected to each other.

[0019] The fuel pipeline information acquisition unit is used to collect the pipeline information of the fuel pipeline through different sensors. The pipeline information includes pressure, temperature and flow rate, and at the same time transmits it to the pipeline efficiency flow analysis unit.

[0020] The pipeline efficiency flow analysis unit is used to calculate the efficiency flow rate of the fuel dispenser according to the obtained pipeline information. According to the formula calculate the efficiency flow rate ratio, and the theoretical oil output is calculated according to the unit oil price and the refueling amount. The unit oil price is determined according to different types of oil. The actual oil output is directly obtained through the fuel dispenser. Compare the obtained efficiency flow rate ratio with the threshold value, and the specific value of the threshold is set by the operator; If the efficiency flow rate ratio is less than the threshold value, a low-threshold signal is generated and transmitted to the low-threshold analysis unit. On the contrary, if the efficiency flow rate ratio is greater than the threshold value, a high-threshold signal is generated and transmitted to the high-threshold analysis unit.

[0021] The super-threshold analysis unit is used to analyze the obtained high-threshold signal. First, extract the real-time pressure data in the pipeline information. The standard pressure value is manually set by the operator after comprehensive consideration of factors such as the actual working conditions of the pipeline, material characteristics, design specifications, etc.

[0022] For example, for a carbon steel pipeline transporting ordinary fuel, in the normal operating state, the operator sets the standard pressure to 2.5 MPa according to past experience and safety standards.

[0023] The system continuously compares the real-time pressure with the standard pressure. Once the real-time pressure is lower than the standard pressure, it is immediately determined that the pressure has abnormally decreased. The system quickly generates an abnormal cause report, such as "There may be a leak in the pipeline, resulting in a pressure drop", and transmits this abnormal information to the monitoring information output unit immediately for the staff to respond and handle in a timely manner. If the real-time pressure remains at the standard pressure level, the system generates a normal pressure signal and then enters the next stage of analysis.

[0024] Obtain the normal pressure signal, and obtain the oil product in the fuel filling pipe. Here, the oil product refers to the corresponding type of oil, such as diesel, 92#, 95#, or 98#. At the same time, analyze the relationship between the current oil product and the temperature change, and obtain the real-time temperature of the current oil product, denoted as t 1 , and record the oil output V corresponding to the fuel dispenser at the standard temperature 0 , and the standard temperature is set to 20°C. Calculate the real-time temperature t 1 The temperature change amount between and the standard temperature is denoted as , then calculate the expansion coefficient of the current oil product. The specific calculation method is as follows: Obtain the initial volume R of the current sample oil product 1 , and place the sample in an environment where the temperature can be precisely controlled. Gradually increase or decrease the temperature. Each time the temperature changes , wait for enough time for the oil product to reach thermal equilibrium, and then measure the volume R of the oil product at different temperatures 2 , and at the same time according to the formula Calculate the expansion coefficient of the current oil product ; When the normal pressure signal is received, the unit automatically identifies the type of oil product in the current fuel filling pipe, such as diesel, 92# gasoline, 95# gasoline, or 98# gasoline, etc. Taking 92# gasoline as an example, the system begins to focus on the relationship between the characteristics of this oil product and the temperature change. First, obtain the real-time temperature t of the current oil product 1 , and at the same time retrieve the oil output V0 corresponding to the fuel dispenser at the standard temperature (20°C).

[0025] For example, at a certain moment, the measured real-time temperature t of 92# gasoline 1 is 25°C, and the oil output V at the standard temperature of 20°C 0 is 50 liters. By calculation, the temperature change amount Δt = t 1 - 20, that is, Δt = 25 - 20 = 5°C.

[0026] To accurately calculate the volume change of the oil product at different temperatures, it is necessary to measure the expansion coefficient α of the current oil product. The specific operation is to select a certain amount of the current sample oil product and record its initial volume R1. Assume that the initial volume R1 is 100 milliliters. Place the sample in an environmental device with precise temperature control function and gradually adjust the temperature. After each temperature change, leave enough time for the oil product to reach the thermal equilibrium state. For example, raise the temperature from 20°C to 25°C. After the oil product stabilizes, measure the volume R2 of the oil product at this time to be 100.6 milliliters. According to the formula α = (R2 - R1) / (R1×ΔT), where ΔT is the temperature change amount in this case, and in this example, ΔT = 5°C, the expansion coefficient α = (100.6 - 100) / (100×5) = 0.0012 / °C can be calculated.

[0027] Next, according to the formula calculate the actual oil output V 1 , and is the expansion coefficient. At the same time, taking the calculated actual oil output V 1 as the standard, obtain the real-time oil output V now . Calculate the difference between the two and record it as the compensation value. Taking the calculated compensation value as the standard, generate compensation information and transmit it to the monitoring information output unit at the same time.

[0028] Based on the measured expansion coefficient α, use the formula V 1 =V 0 (1 + αΔt) to calculate the actual oil output V 1 . Substitute the data, V 1 = 50×(1 + 0.0012×5) = 50.3 liters. The system synchronously obtains the real-time oil output V now . Assume that V now is 50.1 liters. Calculate the difference between the two as the compensation value, that is, the compensation value = V 1 -V now = 50.3 - 50.1 = 0.2 liters.

[0029] The system generates compensation information based on this compensation value, such as "Due to temperature change, the current 92# gasoline oil output needs to be compensated by 0.2 liters", and transmits this compensation information to the monitoring information output unit.

[0030] The monitoring information output unit is used to display the obtained abnormal cause to the corresponding operator, and at the same time transmit the obtained compensation information to the fuel dispenser main body and perform fueling compensation adjustment.

[0031] Embodiment 2 As Embodiment 2 of the present invention, it is implemented on the basis of Embodiment 1, and the differences from Embodiment 1 are as follows: The low-threshold analysis unit is used to analyze the obtained low-threshold signal. First, deeply mine historical data. These historical data come from the flow monitoring records of the fueling pipeline over a long period of time in the past, covering data under various working conditions such as different time periods and different oil product refueling. Through systematic sorting and statistical analysis of these massive historical data, using data mining algorithms and statistical models, determine the normal flow range corresponding to the fueling pipeline. For example, for the 92# gasoline fueling pipeline of a certain gas station, after analyzing the flow data in the past month, it is found that during normal operation, the flow rate of this pipeline is usually stable between 30 liters and 50 liters per minute, and thus its normal flow range is determined to be 30L / min - 50L / min.

[0032] After determining the normal flow range, the unit continuously monitors the current pipeline flow in real time. Through a high-precision flow sensor installed on the pipeline, flow data is collected in real time. For example, at a certain moment, the sensor measures that the current flow of the 92# gasoline filling pipeline is 40L / min. The system immediately compares and matches this real-time flow data with the previously determined normal flow range; If the current pipeline flow is within the normal flow range, such as 40L / min in the above example being between 30L / min - 50L / min, the system determines that the current pipeline flow is normal and generates a secondary analysis signal. This secondary analysis signal can trigger subsequent in-depth analysis of other relevant parameters, such as the change in oil product temperature, pressure stability, etc., to further ensure the overall normality of the refueling operation. Conversely, if the current pipeline flow exceeds the normal flow range, assuming that the measured flow at a certain moment is 20L / min, which is significantly lower than the lower limit of the normal range. The system immediately determines that the refueling pipeline flow is abnormal, quickly generates a flow anomaly message, such as "The flow of the 92# gasoline filling pipeline is too low, there may be a pipeline blockage or pump failure", and transmits this key information to the monitoring information output unit in a timely manner.

[0033] Next, the generated secondary analysis signal is processed to obtain the current temperature and determine whether the current temperature affects the flow of the refueling pipeline, and generate a signal indicating an impact or no impact. And the judgment method here is to compare the current temperature with the standard temperature, combined with the judgment method in Embodiment 1, to generate the corresponding signal. For the generated signal indicating no impact, a metering system anomaly message is generated and transmitted to the monitoring information output unit. For the generated signal indicating an impact, analyze the relationship between the temperature and the current oil product viscosity, and according to the formula calculate the oil product viscosity corresponding to the current temperature T now where A is a constant, E is the viscous flow activation energy, K is the gas constant, and T is the real-time temperature; now ; Next, obtain the viscosity corresponding to the current oil product at the standard temperature, denoted as , and calculate the numerical difference between the oil product viscosity and , denoted as . At the same time, according to the formula analyze the relationship between viscosity and flow, where Q is the actual flow, Q 0 is the flow at the standard viscosity , is the actually measured viscosity, n is a constant related to the system, and substitute the obtained parameters into the formula calculate the flow correction coefficient k Q ; Obtain the original set value Q set0 , and according to the formula Calculate the compensated flow value Q set , and generate compensation information based on it as a standard, and transmit it to the monitoring information output unit.

[0034] Monitoring information output unit, which is used to make corresponding adjustments according to the obtained compensation information.

[0035] Embodiment III As Embodiment III of the present invention, the key lies in combining the implementation processes of Embodiment I and Embodiment II.

[0036] Some of the data in the above formula are taken for numerical calculation without substituting parameter units for calculation. At the same time, the content not described in detail in this specification belongs to the prior art well-known to those skilled in the art.

[0037] The above embodiments are only used to illustrate the technical method of the present invention and not to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical method of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A fuel dispenser with pipeline monitoring function, comprising a fuel dispenser body, a fuel dispenser pipeline and a main control module, characterized in that: The main control module includes: A pipeline efficiency flow analysis unit, used to calculate the efficiency flow according to the pipeline information transmitted by the refueling pipeline information collection unit, and compare it with the threshold value to generate a low threshold signal or a high threshold signal and transmit it at the same time; An over-threshold analysis unit is used to analyze the high-threshold signal, compare the real-time pressure of the pipeline with the standard pressure, and generate an abnormal reason or a normal pressure signal; Analyze the normal pressure signal, analyze the relationship between oil and temperature change, and calculate the expansion coefficient of oil. Calculate the actual oil output, and calculate the difference between the actual oil output and the real-time oil output, generate compensation information, and transmit it to the monitoring information output unit; A low threshold analysis unit is used to analyze the low threshold signal, determine the normal flow range based on historical data, match it with the current pipeline flow, and generate a secondary analysis signal or flow anomaly information; Process the secondary analysis signal, determine the influence relationship between temperature and flow, generate an influence signal or an influence signal, and further analyze the non-influence signal to generate metering system abnormal information; Analyze the influencing signals, analyze the relationship between temperature and oil viscosity, calculate the flow correction coefficient based on the relationship between viscosity and flow, and calculate the compensation flow at the same time, generate compensation information, and transmit it to the monitoring information output unit.

2. The fuel dispenser with pipeline monitoring function according to claim 1, characterized in that: It also includes a refueling pipeline information collection unit and a monitoring information output unit; A refueling pipeline information collection unit is used to collect pipeline information of the refueling pipeline through different sensors and transmit it to the pipeline efficiency flow analysis unit, and the pipeline information includes pressure, temperature and flow; The monitoring information output unit is used to display the acquired abnormal reasons to the corresponding operators, and at the same time transmit the acquired compensation information to the fuel dispenser body and perform fueling compensation adjustments.

3. The fuel dispenser with pipeline monitoring function according to claim 1, characterized in that: The specific method for the pipeline efficiency flow analysis unit to generate a low threshold signal or a high threshold signal is: According to the formula The efficiency flow ratio is calculated and compared with a threshold value, and the specific value of the threshold value is set by an operator; If the efficiency flow ratio is less than the threshold, a low threshold signal is generated and transmitted to the low threshold analysis unit. Conversely, if the efficiency flow ratio is greater than the threshold, a high threshold signal is generated and transmitted to the high threshold analysis unit.

4. The fuel dispenser with pipeline monitoring function according to claim 1, characterized in that: The specific method in which the super-threshold analysis unit analyzes the high threshold signal is: The pressure obtained in the pipeline information is recorded as the real-time pressure, and the obtained real-time pressure is compared with the standard pressure. If the real-time pressure becomes smaller, the decrease in real-time pressure is regarded as a specific abnormality, and the cause of the abnormality is generated and transmitted to the monitoring information output unit at the same time. If the real-time pressure remains unchanged, a normal pressure signal is generated.

5. The fuel dispenser with pipeline monitoring function according to claim 1, characterized in that: The specific method of analyzing the normal pressure signal by the super-threshold analysis unit is as follows: Analyze the relationship between the current oil product and temperature change, obtain the real-time temperature of the current oil product and record it as t1, and record the oil output V0 corresponding to the standard temperature of the fuel dispenser, and calculate the temperature change between the real-time temperature t1 and the standard temperature and record it as , calculate the expansion coefficient of the current oil product ; According to the formula The actual oil output V1 is calculated, and the real-time oil output V is obtained based on the calculated actual oil output V1. now , calculate the difference between the two and record it as the compensation value, and use the calculated compensation value as the standard to generate compensation information, and transmit it to the monitoring information output unit at the same time.

6. The fuel dispenser with pipeline monitoring function according to claim 5, characterized in that: The specific method of calculating the current oil expansion coefficient by the super-threshold analysis unit is: Get the initial volume R1 of the current sample oil, and place the sample in an environment where the temperature can be precisely controlled, gradually raising or lowering the temperature. After that, wait for enough time for the oil to reach thermal equilibrium, then measure the volume R2 of the oil at different temperatures, and according to the formula Calculate the expansion coefficient of the current oil .

7. The fuel dispenser with pipeline monitoring function according to claim 1, characterized in that: The specific method in which the low threshold analysis unit analyzes the low threshold signal is: Obtain historical data and determine the normal flow range of the refueling pipeline based on it. Then obtain the current pipeline flow and compare it with the normal range. If the current flow is within the range, the flow is determined to be normal and a secondary analysis signal is generated. If it is not within the range, the traffic is determined to be abnormal, and abnormal information is generated and transmitted to the monitoring information output unit.

8. The fuel dispenser with pipeline monitoring function according to claim 1, characterized in that: The specific method in which the low threshold analysis unit processes the secondary analysis signal is as follows: Get the current temperature and determine whether the current temperature affects the flow of the refueling pipeline, and generate an impact signal or a non-impact signal. For the generated non-impact signal, generate metering system abnormal information and transmit it to the monitoring information output unit. For the generated impact signal, further analysis is performed.

9. The fuel dispenser with pipeline monitoring function according to claim 8, characterized in that: The specific method in which the low threshold analysis unit analyzes the presence influence signal is: According to the formula Calculate the current temperature T now The corresponding oil viscosity , where A is a constant, E is the viscous flow activation energy, K is the gas constant, T now is the real-time temperature; Obtain the viscosity of the current oil at standard temperature and record it as , and calculate the oil viscosity and The numerical difference of , and according to the formula The relationship between viscosity and flow rate is obtained by analysis, where Q is the actual flow rate and Q0 is the standard viscosity. The flow rate under is the actual measured viscosity, n is a constant related to the system, and the obtained parameters are substituted into the formula Calculate the flow correction factor k Q ; Get the original setting value Q set0 , and according to the formula Calculate the compensated flow value Q set , and at the same time generate compensation information based on it and transmit it to the monitoring information output unit.

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