Method and device for accurately detecting leakage of fuel cell pipeline

Abstract

The invention discloses a fuel cell pipeline leakage accurate detection method in the field of fuel cells. The fuel cell pipeline leakage accurate detection method comprises the following steps that S1, temperature data, flow data and pressure data of the inlet end and the outlet end of a pipeline are collected through an environment monitoring assembly; s2, whether the temperature data, the pressure data and the flow data of the medium between the inlet end and the outlet end of the pipeline are abnormal or not is judged; analyzing whether the pipeline leaks based on the abnormity; the fuel cell pipeline leakage accurate detection device comprises environment monitoring assemblies arranged at the two ends of the pipeline; the data processing module is electrically connected with the environment monitoring assembly; the remote terminal is in signal connection with the data processing module through the communication module; the method has the beneficial effects that the method is used for detecting the pipeline leakage of the fuel cell, the single parameter detection possibly misjudges the operation of front-end personnel as leakage, and the comprehensive judgment of the three parameters of the temperature, the pressure drop and the flow is more accurate and is not easy to misjudge.

Description

Technical Field

[0001] The present invention relates to the field of fuel cells, and in particular to a method and device for accurately detecting leakage in a fuel cell pipeline. Background Art

[0002] The fuel cell power generation system is a power generation device that generates electricity by generating water through the electrochemical reaction of hydrogen and oxygen. Due to the large amount of gas and liquid flow required and generated in the system, a large number of corresponding pipelines are required. In addition to the air system pipelines, hydrogen system pipelines, cooling circuit system pipelines, battery stack pipelines and auxiliary system pipelines required for stable operation of the system, circulation devices such as air circulation pumps, hydrogen circulation pumps, coolant circulation pumps, etc. are generally placed in the system to re-enter the system with the water generated by the system and the unused hydrogen and air or perform heat exchange, thereby improving the system operation efficiency and the utilization rate of hydrogen and heat. Therefore, corresponding pipelines are also required for these circulation devices. This will result in a large number and type of pipelines in the entire system. In order to ensure the normal operation of the system, all pipelines in the system need to be detected for leaks.

[0003] Regardless of the medium within the pipeline, it is essentially a fluid and generates a certain pressure. However, this pressure varies depending on the medium and the direction of the pipeline. Furthermore, the physical properties (viscosity) of the medium itself can lead to different flow rates within the pipeline. Furthermore, the entire system involves heat release and cooling, resulting in varying temperatures across different pipelines. The optimal approach for detecting leaks within fuel cells is to detect and quickly locate the leak in real time, minimizing the damage caused by the leak immediately.

[0004] At present, the pipeline leakage detection of fuel cell power generation systems is not comprehensive and accurate enough. Most of them can only detect the leakage of hydrogen system pipelines based on changes in hydrogen concentration, or detect the leakage of air system pipelines through changes in air pressure. It is impossible to accurately judge the sealing of the entire system through the detection of a single medium.

[0005] To this end, we propose a method and device for accurately detecting fuel cell pipeline leakage. Summary of the Invention

[0006] In view of the above-mentioned deficiencies in the prior art, the present invention provides a method and device for accurately detecting leakage in a fuel cell pipeline.

[0007] In order to achieve the above-mentioned object of the invention, the technical solution adopted by the present invention is: A method for accurately detecting leakage in a fuel cell pipeline comprises the following steps: S1. Collect temperature data, flow data, and pressure data from the pipeline inlet and outlet through the environmental monitoring component; S2. Calculate the theoretical temperature difference, theoretical flow rate difference, and theoretical pressure difference of the medium between the pipeline inlet and outlet, establish an abnormality determination range for determining whether the temperature data, pressure data, and flow rate data of the medium between the pipeline inlet and outlet are abnormal, and evaluate whether the temperature data, pressure data, and flow rate data in the fuel cell pipeline are the first abnormality or the second abnormality based on the abnormality determination range; Based on the first abnormality or the second abnormality, it is analyzed whether the pipeline leaks. If a leak occurs, a pipeline leakage signal is output to the remote terminal. Otherwise, the pipeline does not leak.

[0008] By collecting temperature data, pressure data and flow data at the inlet and outlet of the pipeline, both ends are collected and each type of data is processed independently. Through two sets of processing logic, a more complete judgment of pipeline leakage can be made.

[0009] Further defined, the method for determining whether the temperature data of the medium between the inlet and outlet of the pipeline is the first abnormality or the second abnormality is: If the medium passing through the pipeline is hydrogen, the theoretical gas temperature difference between the pipeline inlet and pipeline outlet is calculated based on the Joule-Thomson effect. :

[0010] in, is the Joule-Thomson coefficient, is the pressure difference between the pipeline inlet and outlet; Using theoretical gas temperature difference , and combined with the fact that when a pipeline leaks, the temperature at the pipeline outlet will rise, establish a stable abnormal judgment range for gas temperature , collect the actual gas temperature difference between the inlet and outlet of the pipeline ,like , then it is determined that the gas temperature has the first abnormality. If , then the gas temperature is judged to be normal; if , it is determined that the gas temperature has a second abnormality, is the error proportional coefficient of gas temperature, ; If the medium passing through the pipe is liquid, the theoretical liquid temperature difference between the pipe inlet and the pipe outlet is calculated according to the first law of thermodynamics. :

[0011] in, The heat exchange capacity is fixed in a fixed system. is the mass of the leaked liquid, is the specific heat capacity of the liquid; Using theoretical liquid temperature difference , establish a stable abnormal judgment range for liquid temperature , collect the actual liquid temperature difference between the inlet and outlet of the pipeline ,like , then it is determined that the liquid temperature has the first abnormality. If , then the liquid temperature is determined to be normal; if , it is determined that the liquid temperature has a second abnormality, is the error proportional coefficient of liquid temperature, .

[0012] Further defined, the method for determining whether the pressure data of the medium between the inlet and outlet of the pipeline is the first abnormality or the second abnormality is: If the medium passing through the pipeline is gas, calculate the theoretical pressure drop of the gas passing through the pipeline :

[0013] in, is the static pressure drop, is the acceleration voltage drop, Represents the resistance pressure drop. Since the density of gas fluid is usually much smaller than that of liquid, the static pressure drop can be ignored. is the mass flow rate of the gas, it should be noted that , is the gas density at working pressure, is the gas flow rate, and are the airtight pressures at the pipeline inlet and outlet, respectively. is the gas density at average pressure, is the friction factor of the gas, is the pipe length, is the inner diameter of the pipe. Since the Reynolds number of the gas fluid is very large and is in the square resistance region, the friction factor has nothing to do with the Reynolds number and remains unchanged. Using the theoretical pressure drop of gas passing through the pipeline , establish a stable abnormal judgment range for gas pressure Collect the actual pressure drop of gas passing through the pipeline ,like , then it is determined that the pipeline pressure data has the first abnormality. If , then the pipeline pressure data is determined to be normal; if , then it is determined that the pipeline pressure data has a second abnormality, is the error proportional coefficient of gas pressure drop, ; If the medium passing through the pipeline is liquid, in the fuel cell system, the liquid pipeline design is generally simple and single-phase flow pipeline, so the theoretical pressure drop of the liquid passing through the pipeline is The calculation formula is:

[0014] in, and are the heights of the pipe inlet and outlet, respectively. and are the flow velocities at the pipe inlet and outlet, respectively. is the average flow velocity of the liquid, is the liquid density, is the friction factor of the liquid. The friction factor is related to the Reynolds number. When the liquid is determined, the friction factor is also determined accordingly. is the resistance coefficient of valves, pumps and other components, Numbers for valves, pumps and other components, ; Using the theoretical pressure drop of liquid through a pipe , establish a stable abnormal judgment range for liquid pressure , collect the actual pressure drop of the liquid through the pipeline ,like , then it is determined that the pipeline pressure data has the first abnormality. If , then the pipeline pressure data is determined to be normal; if , then it is determined that the pipeline pressure data has a second abnormality, is the error proportional coefficient of liquid pressure drop, .

[0015] Further defined, the method for determining whether the flow data of the medium between the inlet and outlet of the pipeline is the first abnormality or the second abnormality is: Calculate the theoretical flow quality per unit time :

[0016] in, is the mass of fluid flowing during the experimental time, is the duration of the experiment; Using theoretical flow quality per unit time , establish a stable abnormality judgment range for traffic , collect the actual flow quality per unit time ,like , then it is determined that the flow data of the pipeline has the first abnormality. If , then the flow data of the pipeline is determined to be normal; if , then it is determined that the pipeline flow data has a second abnormality, is the error proportional coefficient of fluid flow rate. Since pipeline leakage will lead to a decrease in the actual flow quality, .

[0017] Further defined, the method for determining whether a pipeline leaks is: If the second abnormality appears in any one of the temperature data, pressure data, and flow data, it is directly determined that the pipeline is leaking, and a pipeline leakage signal is output to the remote terminal; if the first abnormality appears in any one of the temperature data, pressure data, and flow data, the judgment of the other two data is continued to determine that the pipeline is not leaking; if the first abnormality appears in the temperature data, pressure data, and flow data, it is determined that the pipeline is leaking, and a pipeline leakage signal is output to the remote terminal.

[0018] A fuel cell pipeline leakage precision detection device, applicable to the above-mentioned fuel cell pipeline leakage precision detection method, comprises: an environmental monitoring component, arranged at both ends of the pipeline, for respectively monitoring the temperature, flow rate and pressure data at both ends of the pipeline; a data processing module, electrically connected to the environmental monitoring component; and a remote terminal, connected to the data processing module through a communication module.

[0019] It is further defined that a group of environmental monitoring components is provided at the inlet end and the outlet end of the pipeline, and each group of environmental monitoring components includes a temperature sensor, a flow sensor and a pressure sensor; the temperature sensor, the flow sensor and the pressure sensor are all electrically connected to the data processing module.

[0020] The beneficial effect of the present invention is that when the pipeline leakage of the fuel cell is detected by this method, a single parameter detection is likely to misjudge the operation of the front-end personnel as a leak, while a comprehensive judgment based on the three parameters of temperature, pressure drop and flow rate will be more accurate and less likely to be misjudged. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a diagram showing the connection relationship of the electrical components of the present invention.

[0022] The symbols of the components are as follows: Environmental monitoring component 1, temperature sensor 11, flow sensor 12, pressure sensor 13, data processing module 2, remote terminal 3, communication module 4. DETAILED DESCRIPTION

[0023] The specific embodiments of the present invention are described below to facilitate understanding of the present invention by those skilled in the art. However, it should be clear that the present invention is not limited to the scope of the specific embodiments. For those skilled in the art, as long as various changes are within the spirit and scope of the present invention as defined and determined by the appended claims, these changes are obvious, and all inventions and creations utilizing the concepts of the present invention are protected.

[0024] Example: A method for accurately detecting leakage in a fuel cell pipeline comprises the following steps: S1. Collect temperature data, flow data, and pressure data from the pipeline inlet and outlet through the environmental monitoring component; S2. Calculate the theoretical temperature difference, theoretical flow rate difference, and theoretical pressure difference of the medium between the pipeline inlet and outlet, establish an abnormality determination range for determining whether the temperature data, pressure data, and flow rate data of the medium between the pipeline inlet and outlet are abnormal, and evaluate whether the temperature data, pressure data, and flow rate data in the fuel cell pipeline are the first abnormality or the second abnormality based on the abnormality determination range; Analyzing whether a pipeline leaks based on the first anomaly or the second anomaly, and if a leak occurs, outputting a pipeline leak signal to a remote terminal; otherwise, the pipeline does not leak; The method for determining whether the temperature data of the medium between the inlet and outlet of the pipeline is the first abnormality or the second abnormality is: If the medium passing through the pipeline is hydrogen, the theoretical gas temperature difference between the pipeline inlet and pipeline outlet is calculated based on the Joule-Thomson effect. :

[0025] in, is the Joule-Thomson coefficient, is the pressure difference between the pipeline inlet and outlet; Using theoretical gas temperature difference , and combined with the fact that when a pipeline leaks, the temperature at the pipeline outlet will rise, establish a stable abnormal judgment range for gas temperature , collect the actual gas temperature difference between the inlet and outlet of the pipeline ,like , then it is determined that the gas temperature has the first abnormality. If , then the gas temperature is judged to be normal; if , it is determined that the gas temperature has a second abnormality, is the error proportional coefficient of gas temperature, ; If the medium passing through the pipe is liquid, the theoretical liquid temperature difference between the pipe inlet and the pipe outlet is calculated according to the first law of thermodynamics. :

[0026] in, The heat exchange capacity is fixed in a fixed system. is the mass of the leaked liquid, is the specific heat capacity of the liquid; Using theoretical liquid temperature difference , establish a stable abnormal judgment range for liquid temperature , collect the actual liquid temperature difference between the inlet and outlet of the pipeline ,like , then it is determined that the liquid temperature has the first abnormality. If , then the liquid temperature is determined to be normal; if , it is determined that the liquid temperature has a second abnormality, is the error proportional coefficient of liquid temperature, ; The inlet end of the input pipe is connected to external supply equipment, such as hydrogen cylinders, coolant supply pipes, air intake pipes, etc., and the outlet end is connected to the fuel cell stack. For this part of the medium, since it comes from outside the system, the temperature data at the inlet end of the pipe is given, and the temperature at the outlet end of the pipe is the temperature of the medium when it reaches the rear end through the pipe. Because the fuel cell system is not large, there is no problem of long-distance pipeline transportation, so the temperature here is almost the same as the inlet temperature. If a leak occurs, the temperature at the rear end will vary according to the properties of the medium. At this time, it can be judged that there is a possibility of a pipeline leak. Therefore, the temperature difference between the front and rear ends of the input pipe is in a very small range. Its change range is the smallest and slowest among the three parameters.

[0027] The inlet end of the output pipe is usually connected to the gas / liquid generation end of the fuel cell stack, and the outlet end is connected to a circulation device such as a pump or heat exchanger. Depending on the system design, the outlet end is sometimes directly connected out of the system to downstream equipment. For example, the hot water generated by the fuel cell flows directly out of the system to the water heater for user use. The medium flowing into the inlet end of this part of the pipe participates in the electrochemical reaction in the stack. After the reaction is completed, the temperature changes greatly compared to the input end. If the stack is working normally, the temperature of these media should not be much different from the theoretical value of the electrochemical reaction. Based on these data, the leakage point can be directly judged. If the temperature at the outlet end of the pipe is basically the same as the temperature at the front end, it means there is no leakage. Therefore, the temperature boundary condition of the output end pipe is also that the temperature difference is within a very small range.

[0028] The method for determining whether the pressure data of the medium between the inlet and outlet of the pipeline is the first abnormality or the second abnormality is: If the medium passing through the pipeline is gas, calculate the theoretical pressure drop of the gas passing through the pipeline :

[0029] in, is the static pressure drop, is the acceleration voltage drop, Represents the resistance pressure drop. Since the density of gas fluid is usually much smaller than that of liquid, the static pressure drop can be ignored. is the mass flow rate of the gas, it should be noted that , is the gas density at working pressure, is the gas flow rate, and are the airtight pressures at the pipeline inlet and outlet, respectively. is the gas density at average pressure, is the friction factor of the gas, is the pipe length, is the inner diameter of the pipe. Since the Reynolds number of the gas fluid is very large and is in the square resistance region, the friction factor has nothing to do with the Reynolds number and remains unchanged. Using the theoretical pressure drop of gas passing through the pipeline , establish a stable abnormal judgment range for gas pressure Collect the actual pressure drop of gas passing through the pipeline ,like , then it is determined that the pipeline pressure data has the first abnormality. If , then the pipeline pressure data is determined to be normal; if , then it is determined that the pipeline pressure data has a second abnormality, is the error proportional coefficient of gas pressure drop, ; If the medium passing through the pipeline is liquid, in the fuel cell system, the liquid pipeline design is generally simple and single-phase flow pipeline, so the theoretical pressure drop of the liquid passing through the pipeline is The calculation formula is:

[0030] in, and are the heights of the pipe inlet and outlet, respectively. and are the flow velocities at the pipe inlet and outlet, respectively. is the average flow velocity of the liquid, is the liquid density, is the friction factor of the liquid. The friction factor is related to the Reynolds number. When the liquid is determined, the friction factor is also determined accordingly. is the resistance coefficient of valves, pumps and other components, Numbers for valves, pumps and other components, ; Using the theoretical pressure drop of liquid through a pipe , establish a stable abnormal judgment range for liquid pressure , collect the actual pressure drop of the liquid through the pipeline ,like , then it is determined that the pipeline pressure data has the first abnormality. If , then the pipeline pressure data is determined to be normal; if , then it is determined that the pipeline pressure data has a second abnormality, is the error proportional coefficient of liquid pressure drop, ; The media in the input pipeline needs to enter the system at a relatively high pressure. Hydrogen uses a pressure reducing valve, air uses an air compressor, and circulating fluid and coolant use high-pressure pumps. Therefore, the pressure of the input medium is the highest in the entire process, which can push the medium all the way from the input end to the fuel cell stack and finally out of the output end. Generally speaking, the pressure at the inlet of the input pipeline can be adjusted manually. When the pressure value and the adjusted value do not match, it can be directly judged that there is a possibility of pipeline leakage. As the medium enters the fuel cell stack and is consumed, the pressure gradually decreases until some of the medium is re-pressurized and returned to the system through the circulation system. If a leak occurs, the pressure will drop sharply and its change range will be the largest and fastest among the three parameters. It is worth mentioning that the degree of pressure drop can be quantified, so the judgment condition of the pressure data is the quantitative threshold of a large pipeline pressure drop.

[0031] The method for determining whether the flow data of the medium between the inlet and outlet of the pipeline is the first abnormality or the second abnormality is: Calculate the theoretical flow quality per unit time :

[0032] in, is the mass of fluid flowing during the experimental time, is the duration of the experiment; Using theoretical flow quality per unit time , establish a stable abnormality judgment range for traffic , collect the actual flow quality per unit time ,like , then it is determined that the flow data of the pipeline has the first abnormality. If , then the flow data of the pipeline is determined to be normal; if , then it is determined that the pipeline flow data has a second abnormality, is the error proportional coefficient of fluid flow rate. Since pipeline leakage will lead to a decrease in the actual flow quality, ; Flow data is similar to pressure data. The flow rate at the input end is the highest in the entire pipeline. As the medium enters the stack and an electrochemical reaction occurs, the flow rate will decrease. However, the change in flow rate and the degree of change are the second largest and second fastest of the three parameters. If a leak occurs at the input end, the flow rate difference is much lower than the flow rate value given outside the system, which can be used to directly determine the pipeline leak. If a leak occurs at the output end, the flow rate difference is much lower than the flow rate consumed by the electrochemical reaction of the stack. These situations can directly determine the possibility of a pipeline leak. Similarly, the degree of flow reduction can also be quantified. Therefore, the flow judgment condition is a quantification threshold with a relatively large flow reduction. The method to determine whether a pipeline leaks is: If the second abnormality appears in any one of the temperature data, pressure data, and flow data, it is directly determined that the pipeline is leaking, and a pipeline leakage signal is output to the remote terminal; if the first abnormality appears in any one of the temperature data, pressure data, and flow data, the judgment of the other two data is continued to determine that the pipeline is not leaking; if the first abnormality appears in the temperature data, pressure data, and flow data, it is determined that the pipeline is leaking, and a pipeline leakage signal is output to the remote terminal.

[0033] By distinguishing the fluid properties in the pipeline, the temperature data of gas fluid and liquid fluid are processed differently to determine whether the temperature data under different fluid systems is abnormal, making the detection more accurate; by collecting temperature data, pressure data and flow data at the inlet and outlet of the pipeline, both ends are collected and each type of data is processed independently, and through two sets of processing logic, a more complete judgment of pipeline leakage can be made.

[0034] like Figure 1 As shown, a fuel cell pipeline leakage accurate detection device is applied to the above-mentioned fuel cell pipeline leakage accurate detection method, including an environmental monitoring component 1, a data processing module 2 and a remote terminal 3: the environmental monitoring component 1 is used to monitor the temperature, flow and pressure data of both ends of the pipeline respectively; a group of environmental monitoring components 1 is provided at the inlet and outlet ends of the pipeline, and each group of environmental monitoring components 1 includes a temperature sensor 11, a flow sensor 12 and a pressure sensor 13; the temperature sensor 11, the flow sensor 12, and the pressure sensor 13 are all electrically connected to the data processing module 2; the temperature sensor 11, the flow sensor 12, and the pressure sensor 13 are all electrically connected to the data processing module 2; the remote terminal 3 is connected to the data processing module 2 through the communication module 4.

Claims

1. A method for accurately detecting leakage in a fuel cell pipeline, characterized in that: The steps include: S1. Collect temperature data, flow data, and pressure data from the pipeline inlet and outlet through the environmental monitoring component; S2. Calculate the theoretical temperature difference, theoretical flow rate difference, and theoretical pressure difference of the medium between the pipeline inlet and outlet, establish an abnormality determination range for determining whether the temperature data, pressure data, and flow rate data of the medium between the pipeline inlet and outlet are abnormal, and evaluate whether the temperature data, pressure data, and flow rate data in the fuel cell pipeline are the first abnormality or the second abnormality based on the abnormality determination range; Based on the first abnormality or the second abnormality, it is analyzed whether the pipeline leaks. If a leak occurs, a pipeline leakage signal is output to the remote terminal. Otherwise, the pipeline does not leak.

2. The fuel cell pipeline leakage accurate detection method according to claim 1, characterized in that: The method for determining whether the temperature data of the medium between the inlet and outlet of the pipeline is the first abnormality or the second abnormality is: If the medium passing through the pipeline is hydrogen, the theoretical gas temperature difference between the pipeline inlet and the pipeline outlet is calculated based on the Joule-Thomson effect. : in, is the Joule-Thomson coefficient, is the pressure difference between the pipeline inlet and outlet; Using theoretical gas temperature difference , and combined with the fact that when a pipeline leaks, the temperature at the pipeline outlet will rise, establish a stable abnormal judgment range for gas temperature , collect the actual gas temperature difference between the inlet and outlet of the pipeline ,like , then it is determined that the gas temperature has the first abnormality. If , then the gas temperature is judged to be normal; if , it is determined that the gas temperature has a second abnormality, is the error proportional coefficient of gas temperature, ; If the medium passing through the pipe is liquid, the theoretical liquid temperature difference between the pipe inlet and the pipe outlet is calculated according to the first law of thermodynamics. : in, The heat exchange capacity is fixed in a fixed system. is the mass of the leaked liquid, is the specific heat capacity of the liquid; Using theoretical liquid temperature difference , establish a stable abnormal judgment range for liquid temperature , collect the actual liquid temperature difference between the inlet and outlet of the pipeline ,like , then it is determined that the liquid temperature has the first abnormality. If , then the liquid temperature is determined to be normal; if , it is determined that the liquid temperature has a second abnormality, is the error proportional coefficient of liquid temperature, .

3. The fuel cell pipeline leakage accurate detection method according to claim 2, characterized in that: The method for determining whether the pressure data of the medium between the inlet and outlet of the pipeline is the first abnormality or the second abnormality is: If the medium passing through the pipeline is gas, calculate the theoretical pressure drop of the gas passing through the pipeline : in, is the static pressure drop, is the acceleration voltage drop, Represents the resistance pressure drop. Since the density of gas fluid is usually much smaller than that of liquid, the static pressure drop can be ignored. is the mass flow rate of the gas, it should be noted that , is the gas density at working pressure, is the gas flow rate, and are the airtight pressures at the pipeline inlet and outlet, respectively. is the gas density at average pressure, is the friction factor of the gas, is the pipe length, is the inner diameter of the pipe. Since the Reynolds number of the gas fluid is very large and is in the square resistance region, the friction factor has nothing to do with the Reynolds number and remains unchanged. Using the theoretical pressure drop of gas passing through the pipeline , establish a stable abnormal judgment range for gas pressure Collect the actual pressure drop of gas passing through the pipeline ,like , then it is determined that the pipeline pressure data has the first abnormality. If , then the pipeline pressure data is determined to be normal; if , then it is determined that the pipeline pressure data has a second abnormality, is the error proportional coefficient of gas pressure drop, ; If the medium passing through the pipeline is liquid, in the fuel cell system, the liquid pipeline design is generally simple and single-phase flow pipeline, so the theoretical pressure drop of the liquid passing through the pipeline is The calculation formula is: in, and are the heights of the pipe inlet and outlet, respectively. and are the flow velocities at the pipe inlet and outlet, respectively. is the average flow velocity of the liquid, is the liquid density, is the friction factor of the liquid. The friction factor is related to the Reynolds number. When the liquid is determined, the friction factor is also determined accordingly. is the resistance coefficient of valves, pumps and other components, Numbers for valves, pumps and other components, ; Using the theoretical pressure drop of liquid through a pipe , establish a stable abnormal judgment range for liquid pressure , collect the actual pressure drop of the liquid through the pipeline ,like , then it is determined that the pipeline pressure data has the first abnormality. If , then the pipeline pressure data is determined to be normal; if , then it is determined that the pipeline pressure data has a second abnormality, is the error proportional coefficient of liquid pressure drop, .

4. The fuel cell pipeline leakage accurate detection method according to claim 3, characterized in that: The method for determining whether the flow data of the medium between the inlet and outlet of the pipeline is the first abnormality or the second abnormality is: Calculate the theoretical flow quality per unit time : in, is the mass of fluid flowing during the experimental time, is the duration of the experiment; Using theoretical flow quality per unit time , establish a stable abnormality judgment range for traffic , collect the actual flow quality per unit time ,like , then it is determined that the flow data of the pipeline has the first abnormality. If , then the flow data of the pipeline is determined to be normal; if , then it is determined that the pipeline flow data has a second abnormality, is the error proportional coefficient of fluid flow rate. Since pipeline leakage will lead to a decrease in the actual flow quality, .

5. The fuel cell pipeline leakage accurate detection method according to claim 4, characterized in that: The method to determine whether a pipeline leaks is: If any one of the temperature data, pressure data, and flow data shows a second abnormality, it is directly determined that the pipeline is leaking, and a pipeline leakage signal is output to the remote terminal; if any one of the temperature data, pressure data, and flow data shows a first abnormality, the judgment of the other two data is continued to determine that the pipeline is not leaking; if the temperature data, pressure data, and flow data all show the first abnormality, it is determined that the pipeline is leaking, and a pipeline leakage signal is output to the remote terminal.

6. A fuel cell pipeline leakage accurate detection device, applied to the fuel cell pipeline leakage accurate detection method according to claim 5, characterized in that: include: Environmental monitoring components (1), provided at both ends of the pipeline, for respectively monitoring temperature, flow rate and pressure data at both ends of the pipeline; A data processing module (2) is electrically connected to the environmental monitoring component (1); The remote terminal (3) is connected to the data processing module (2) via a communication module (4).

7. The fuel cell pipeline leakage accurate detection device according to claim 6, characterized in that: The environmental monitoring components (1) are provided with a group at the inlet end and the outlet end of the pipeline, and each group of the environmental monitoring components (1) includes a temperature sensor (11), a flow sensor (12) and a pressure sensor (13); the temperature sensor (11), the flow sensor (12) and the pressure sensor (13) are all electrically connected to the data processing module (2).

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