CN117387007A - Pipeline leakage monitoring method based on digital twinning - Google Patents

Abstract

The invention relates to the technical field of pipeline safety, in particular to a pipeline leakage monitoring method based on digital twinning, which comprises the steps of detecting physical entity data and operation data of a pipeline through a data detection module and determining physical properties and operation conditions of the pipeline; the data processing module collects the detected operation data, analyzes and processes the operation data and determines whether the pipeline is leaked or not; constructing a pipeline model based on digital twinning through physical entity data and pipeline leakage conditions obtained through analysis and processing; and carrying out simulation on the constructed pipeline model based on digital twin, verifying the accuracy of the model, and optimizing according to a simulation result. According to the invention, the data processing module is used for collecting the real-time temperature, pressure and vibration data of each position of the pipeline, and the data processing module is used for collecting each data detected by the data detection module and comparing the single point with the whole, so that the comprehensive monitoring of the pipeline leakage is realized, and the accuracy and timeliness of the pipeline leakage monitoring are improved.

Description

A pipeline leakage monitoring method based on digital twins

Technical field

The present invention relates to the field of pipeline safety technology, and in particular refers to a pipeline leakage monitoring method based on digital twins.

Background technique

With the rapid advancement of urbanization in our country, urban gas pipeline networks have continued to expand, becoming increasingly larger in scale, and underground pipelines are complex. The construction and operation of urban gas pipeline networks are facing more and more challenges. However, many cities are facing increasing challenges during the construction process. China has placed too much emphasis on above-ground facilities and insufficient scientific management and control of underground pipeline networks. This has led to frequent safety accidents in urban gas pipeline networks, seriously affecting people's lives and property safety. Cities urgently need to strengthen scientific management and control of gas pipeline networks and utilize A new generation of information technology is used to build a pipeline leakage monitoring system to detect potential safety hazards early and prevent them before they occur.

Chinese patent publication number: CN115370838A. Disclosed is a pipeline and a pipeline leakage monitoring system, which belongs to the field of pipeline safety technology. The pipeline is composed of pipe sections and valves alternately connected. Each pipe section includes an inner casing and an outer casing set outside the inner casing, and the inner casing is An annular cavity is formed between the casing and the outer casing. Both ends of the annular cavity are closed. There are supports in the annular cavity to connect the inner pipe and the outer casing into one body. In addition, this pipeline is also equipped with a measuring A pressure measuring instrument for the pressure in an annular cavity.

It can be seen that the current pipeline leakage monitoring efficiency is low and the monitoring is not timely.

Contents of the invention

To this end, the present invention provides a pipeline leakage monitoring method based on digital twins to overcome the problems of low monitoring efficiency and untimely monitoring in the existing technology.

In order to achieve the above objectives, the present invention provides a pipeline leakage monitoring system based on digital twins, including:

A data detection module, which includes a number of temperature sensors, a number of pressure sensors and a number of vibration sensors, used to detect real-time temperature parameters, real-time pressure parameters and real-time vibration parameters at each position of the pipeline;

A data processing module, which is used to collect, analyze and process the real-time parameters detected by the data detection module, and determine the leakage of the pipeline. According to the temperature sensors, the pressure sensors and the vibrations, The actual temperature value, actual pressure value and actual vibration value detected by the sensor are compared with the preset standard temperature value, standard pressure value and standard vibration value to determine whether leakage occurs at each position of the pipeline; according to the actual temperature detected by each temperature sensor Calculate the overall pipeline temperature evaluation value, calculate the overall pipeline pressure evaluation value from the actual pressure value detected by each pressure sensor, calculate the overall pipeline vibration evaluation value from the actual vibration value detected by each vibration sensor, and the preset pipeline overall temperature standard evaluation interval, Compare the standard evaluation interval of the overall pressure of the pipeline and the standard evaluation interval of the overall vibration of the pipeline to determine whether the temperature, pressure and vibration of the entire pipeline are abnormal; according to the overall temperature evaluation value of the pipeline, the evaluation value of the overall pressure of the pipeline and the overall vibration of the pipeline Evaluation value calculation: Compare the overall leakage evaluation value of the pipeline with the standard evaluation value of the overall leakage of the pipeline to determine whether leakage occurs in the entire pipeline;

A modeling module that constructs a pipeline model based on digital twins based on the real-time parameters obtained by the data detection module and the analysis results of the real-time parameters by the data processing module;

A simulation module configured to simulate the digital twin-based pipeline model constructed by the modeling module and determine the accuracy of the digital twin-based pipeline model.

Further, the detected pipeline is evenly divided into several detection points according to fixed lengths. The temperature sensor, the pressure sensor and the vibration sensor are provided at any detection point. Different detection points are provided with different detection points. Actual temperature value, actual pressure value and actual vibration value, and compare the actual temperature value, actual pressure value and actual vibration value of each detection point with the preset actual temperature value, actual pressure value and actual vibration value, Determine whether the pipeline is leaking.

Further, the comparison process to determine whether the pipeline is leaking includes single-point comparison and overall comparison. Through the single-point comparison of each detection point, the leakage situation at each position of the pipeline is determined, wherein the single-point comparison includes, Single-point temperature comparison, single-point pressure comparison and single-point vibration comparison; by summarizing the actual temperature value, actual pressure value and actual vibration value of each detection point, the overall comparison is performed to determine whether leakage occurs in the entire pipeline. Among them, the overall The comparison includes overall temperature comparison, overall pressure comparison and overall vibration comparison.

Further, different standard temperature intervals are set at different detection points. When performing a single-point temperature comparison at any detection point, the relationship between the actual temperature value detected by the temperature sensor and the corresponding standard temperature interval is determined. Determine whether leakage occurs at the location of the pipeline where the detection point is located. If the actual temperature value exceeds the standard temperature range, it is determined that leakage occurs at this location of the pipeline;

Different standard pressure intervals are set at different detection points. When performing a single-point pressure comparison on any detection point, the detection is judged based on the relationship between the actual pressure value detected by the pressure sensor and the corresponding standard pressure interval. Whether leakage occurs at the location of the pipeline where the point is located. If the actual pressure value exceeds the standard pressure range, it is determined that leakage occurs at that location of the pipeline;

Different standard vibration intervals are set at different detection points. When comparing single-point vibrations at any detection point, the detection is judged based on the relationship between the actual vibration value detected by the vibration sensor and the corresponding standard vibration interval. Whether leakage occurs at the position of the pipeline where the point is located. If the actual vibration value exceeds the standard vibration interval, it is determined that leakage occurs at this position of the pipeline.

Further, based on the single-point temperature comparison, the actual temperature values of all detection points are integrated, including renumbering the number of detection points with too low temperatures and renumbering the number of detection points with too high temperatures, thereby Calculate the overall temperature evaluation value of the pipeline and compare it with the standard evaluation interval of the overall temperature of the pipeline to determine whether the overall temperature of the pipeline is abnormal. If the overall temperature evaluation value of the pipeline exceeds the standard evaluation interval of the overall temperature of the pipeline, the overall temperature of the pipeline is abnormal and the system issues a temperature abnormality command. , the data processing module conducts a detailed analysis of the abnormal conditions of the overall pressure and overall vibration, and determines whether leakage occurs in the entire pipeline;

Based on the single-point pressure comparison, the actual pressure values of all detection points are integrated, including renumbering the number of detection points with too low pressure and renumbering the number of detection points with too high pressure, thereby calculating the overall pipeline The pressure evaluation value is compared with the standard evaluation interval of the overall pressure of the pipeline to determine whether the overall pressure of the pipeline is abnormal. If the overall pressure evaluation value of the pipeline exceeds the standard evaluation interval of the overall pressure of the pipeline, the overall pressure of the pipeline is abnormal, and the system issues a pressure abnormality command, as described The data processing module conducts a detailed analysis of the abnormal conditions of the overall temperature and overall vibration to determine whether there is leakage in the entire pipeline;

Based on the single-point vibration comparison, the actual vibration values of all detection points are integrated, including renumbering the number of detection points with too low vibration and renumbering the number of detection points with excessive vibration, thereby calculating the overall pipeline The vibration evaluation value is compared with the standard evaluation interval of the overall vibration of the pipeline to determine whether the overall vibration of the pipeline is abnormal. If the overall vibration evaluation value of the pipeline exceeds the standard evaluation interval of the overall vibration of the pipeline, the overall vibration of the pipeline is abnormal, and the system issues a vibration abnormality instruction, as described The data processing module conducts a detailed analysis of the abnormal conditions of the overall temperature and overall pressure to determine whether there is leakage in the entire pipeline.

Further, for any detection point, if its actual temperature value exceeds its corresponding standard temperature interval, the detection point is classified. The classification includes low temperature points and high temperature points, wherein the low temperature point The actual temperature value is less than the lowest temperature value of the standard temperature range. Any low temperature point is set with a low temperature calculation compensation parameter for the overall temperature evaluation value of the pipeline. The actual temperature value of the high temperature point is greater than the standard temperature. The highest temperature value in the interval, any high temperature point is set with a high temperature calculation compensation parameter for the overall temperature evaluation value of the pipeline at that high temperature point,

Wherein, the low-temperature calculation compensation parameter is negatively correlated with the actual temperature value of the low-temperature point, and the high-temperature calculation compensation parameter is positively correlated with the actual temperature value of the high-temperature point;

For any detection point, if its actual pressure value exceeds its corresponding standard pressure interval, the detection point will be classified. The classification includes low-pressure points and high-pressure points, where the actual pressure of the low-pressure point The value is less than the lowest pressure value of the standard pressure interval. Any low-pressure point is set with a low-pressure calculation compensation parameter for the overall pressure evaluation value of the pipeline. The actual pressure value of the high-pressure point is greater than the highest value of the standard pressure interval. Pressure value, any high-pressure point is provided with a high-pressure calculation compensation parameter for the overall pressure evaluation value of the pipeline at that high-pressure point,

Wherein, the low pressure calculation compensation parameter is negatively correlated with the actual pressure value of the low pressure point, and the high pressure calculation compensation parameter is positively correlated with the actual pressure value of the high pressure point;

For any detection point, if its actual vibration value exceeds its corresponding standard vibration interval, the detection point is classified. The classification includes low-frequency points and high-frequency points, where the actual vibration value of the low-frequency point is The vibration value is less than the lowest vibration value of the standard vibration interval. Any low-frequency point is set with a low-frequency calculation compensation parameter for the overall vibration evaluation value of the pipeline at that low-frequency point. The actual vibration value of the high-frequency point is greater than the standard vibration interval. The highest vibration value, any high-frequency point is set with a high-frequency calculation compensation parameter for the overall vibration evaluation value of the pipeline at that high-frequency point,

Wherein, the low-frequency calculation compensation parameter is negatively correlated with the actual vibration value of the low-frequency point, and the high-frequency calculation compensation parameter is positively correlated with the actual vibration value of the high-frequency point.

Further, calculate the overall leakage evaluation value of the pipeline based on the overall pipeline temperature evaluation value, the overall pipeline pressure evaluation value and the overall pipeline vibration evaluation value,

If the overall leakage evaluation value of the pipeline is greater than the standard evaluation value of the overall leakage of the pipeline, it is determined that the entire pipeline leaks, wherein the standard evaluation value of the overall leakage of the pipeline is set in the system;

When calculating the overall leakage evaluation value of the pipeline, the first difference between the arithmetic mean of the standard evaluation value of the overall temperature of the pipeline and the lowest standard evaluation value of the overall temperature of the pipeline and the evaluation value of the overall temperature of the pipeline is set. The first calculation compensation parameter of the overall leakage evaluation value of the pipeline, the second difference between the arithmetic mean of the standard evaluation value of the overall pressure of the pipeline and the lowest standard evaluation value of the overall pressure of the pipeline and the evaluation value of the overall pressure of the pipeline The second calculation compensation parameter of the overall pipeline leakage evaluation value, the third difference between the arithmetic mean of the pipeline overall vibration standard evaluation value and the pipeline overall vibration minimum standard evaluation value and the pipeline overall vibration evaluation value A third calculation compensation parameter for the overall leakage evaluation value of the pipeline.

Further, when the data processing module determines whether leakage occurs in the entire pipeline,

If the first calculated compensation parameter is greater than or equal to the first calculated compensation evaluation value, the data processing module determines that the first difference meets the single judgment condition for leakage in the entire pipeline;

If the second calculated compensation parameter is greater than or equal to the second calculated compensation evaluation value, the data processing module determines that the second difference meets the single judgment condition for leakage in the entire pipeline;

If the third calculated compensation parameter is greater than or equal to the third calculated compensation evaluation value, the data processing module determines that the third difference value meets the single judgment condition for leakage in the entire pipeline;

Wherein, the first calculated compensation evaluation value is set in the data processing module,

The second calculated compensation evaluation value is set in the data processing module,

The third calculated compensation evaluation value is set in the data processing module.

Furthermore, according to the number of items whose differences meet a single judgment condition, the alarm levels of the overall leakage of the pipeline are divided.

If the first difference, the second difference, and the third difference all meet a single judgment condition, a three-level alarm signal will be sent to stop the pipeline work in time;

If the items that meet a single judgment condition among the first difference, the second difference, and the third difference are less than or equal to two items, a first-level alarm signal is issued, and the data detection module controls the pipeline. Test again to determine whether a false alarm occurs.

The present invention also discloses a pipeline leakage monitoring method based on digital twins, which is characterized by:

Step S1, detect the physical entity data and operating data of the pipeline through the data detection module to determine the physical attributes and operating conditions of the pipeline;

Step S2: The data processing module collects the detected operating data, analyzes and processes the operating data, and determines whether the pipeline leaks;

Step S3: Construct a pipeline model based on the digital twin based on the physical entity data in step S1 and the pipeline leakage obtained by the analysis and processing in step S2;

Step S4: Perform simulation on the digital twin-based pipeline model constructed in step S3 to verify the accuracy of the model, and perform optimization based on the simulation results.

Compared with the existing technology, the beneficial effect of the present invention is that the present invention discloses a pipeline leakage monitoring system based on digital twins, including a data detection module, a data processing module, a modeling module and a simulation module, wherein: the data detection module The module is used to detect real-time temperature parameters, real-time pressure parameters and real-time vibration parameters at each position of the pipeline; the data processing module is used to collect, analyze and process the real-time parameters detected by the data detection module, and determine The leakage of the pipeline is determined based on the actual temperature value, actual pressure value and actual vibration value detected by the temperature sensor, the pressure sensor and the vibration sensor and the preset standard temperature value and standard pressure value. Compare with the standard vibration value to determine whether leakage occurs at each position of the pipeline; calculate the overall temperature evaluation value of the pipeline based on the actual temperature value detected by each temperature sensor, and calculate the overall pressure evaluation value of the pipeline and each vibration based on the actual pressure value detected by each pressure sensor. The actual vibration value detected by the sensor calculates the overall vibration evaluation value of the pipeline and compares it with the preset standard evaluation value of the overall temperature of the pipeline, the standard evaluation value of the overall pressure of the pipeline, and the standard evaluation value of the overall vibration of the pipeline to determine whether the overall temperature, pressure and vibration of the pipeline are Abnormal; calculate the overall leakage evaluation value of the pipeline based on the overall temperature evaluation value of the pipeline, the overall pressure evaluation value of the pipeline, and the overall vibration evaluation value of the pipeline and compare it with the standard evaluation value of the overall leakage of the pipeline to determine whether leakage occurs in the entire pipeline; so the modeling module, which is used to construct a pipeline model based on digital twins based on the real-time parameters obtained by the data detection module and the analysis results of the real-time parameters by the data processing module; the simulation module, which is used to The digital twin-based pipeline model constructed by the above-mentioned modeling module is simulated to determine the accuracy of the digital twin-based pipeline model. It reduces the tediousness of building digital twin models, shortens the development cycle, and realizes the rapid construction of digital twin models; the built digital twin-based pipeline model is optimized through the simulation module to obtain the optimal digital twin pipeline model corresponding to the target business. , ensuring the accuracy of the constructed digital twin pipeline model, achieving comprehensive monitoring of pipeline leakage, and improving the accuracy and timeliness of pipeline leakage monitoring.

Description of the drawings

Figure 1 is a flow chart of the pipeline leakage monitoring method based on digital twins;

Figure 2 is a schematic structural diagram of the pipeline leakage monitoring system based on digital twins;

Figure 3 is a schematic diagram of the internal structure of the pipeline;

The figure includes: temperature sensor 1, pressure sensor 2, vibration sensor 3.

Detailed ways

In order to make the purpose and advantages of the present invention more clear, the present invention will be further described below in conjunction with the examples; it should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the present invention.

Preferred embodiments of the present invention will be described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the scope of the present invention.

It should be noted that in the description of the present invention, the terms "upper", "lower", "left", "right", "inner", "outer" and other terms indicating the direction or positional relationship are based on the figures. The directions or positional relationships shown are only for convenience of description and do not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be construed as a limitation of the present invention.

In addition, it should be noted that in the description of the present invention, unless otherwise clearly stated and limited, the terms "installation", "connection" and "connection" should be understood in a broad sense. For example, it can be a fixed connection or a fixed connection. It is a detachable connection or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be an internal connection between two components. For those skilled in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

Please refer to Figures 1 to 3. Figure 1 is a flow chart of the pipeline leakage monitoring method based on digital twins; Figure 2 is a schematic structural diagram of the pipeline leakage monitoring system based on digital twins; Figure 3 is a schematic diagram of the internal structure of the pipeline.

The present invention provides a pipeline leakage monitoring method based on digital twins, including:

Step S1, detect the physical entity data and operating data of the pipeline through the data detection module to determine the physical attributes and operating conditions of the pipeline;

Step S2: The data processing module collects the detected operating data, analyzes and processes the operating data, and determines whether the pipeline leaks;

Step S3: Construct a pipeline model based on the digital twin based on the physical entity data in step S1 and the pipeline leakage obtained by the analysis and processing in step S2;

Step S4: Simulate the digital twin-based pipeline model constructed in step S3 to verify the accuracy of the model, and perform optimization based on the simulation results.

Specifically, the pipeline leakage monitoring system based on digital twins in this embodiment includes:

A data detection module, which includes a temperature sensor 1, a pressure sensor 2 and a vibration sensor 3, used to detect the real-time temperature parameters, real-time pressure parameters and real-time vibration parameters of the pipeline;

A data processing module, which is used to collect, analyze and process the real-time parameters detected by the data detection module, and determine the leakage of the pipeline. According to the temperature sensors, the pressure sensors and the vibrations, The actual temperature value, actual pressure value and actual vibration value detected by the sensor are compared with the preset standard temperature value, standard pressure value and standard vibration value to determine whether leakage occurs at each position of the pipeline; according to the actual temperature detected by each temperature sensor Calculate the overall pipeline temperature evaluation value, calculate the overall pipeline pressure evaluation value from the actual pressure value detected by each pressure sensor, calculate the overall pipeline vibration evaluation value from the actual vibration value detected by each vibration sensor, and the preset pipeline overall temperature standard evaluation interval, Compare the standard evaluation interval of the overall pressure of the pipeline and the standard evaluation interval of the overall vibration of the pipeline to determine whether the temperature, pressure and vibration of the entire pipeline are abnormal; according to the overall temperature evaluation value of the pipeline, the evaluation value of the overall pressure of the pipeline and the overall vibration of the pipeline Evaluation value calculation: Compare the overall leakage evaluation value of the pipeline with the standard evaluation value of the overall leakage of the pipeline to determine whether leakage occurs in the entire pipeline;

A modeling module that constructs a pipeline model based on digital twins based on the real-time parameters obtained by the data detection module and the analysis results of the real-time parameters by the data processing module;

A simulation module configured to simulate the digital twin-based pipeline model constructed by the modeling module and determine the accuracy of the digital twin-based pipeline model.

The present invention detects real-time temperature parameters, real-time pressure parameters and real-time vibration parameters at each position of the pipeline through the data detection module; the data processing module is used to collect and analyze the real-time parameters detected by the data detection module. and processing to determine the leakage of the pipeline, based on the actual temperature value, actual pressure value and actual vibration value detected by the temperature sensor, the pressure sensor and the vibration sensor and the preset standard temperature value , compare the standard pressure value and the standard vibration value to determine whether leakage occurs at each position of the pipeline; calculate the overall temperature evaluation value of the pipeline based on the actual temperature value detected by each temperature sensor, and calculate the overall pressure evaluation value of the pipeline based on the actual pressure value detected by each pressure sensor. value, the actual vibration value detected by each vibration sensor is calculated, and the overall vibration evaluation value of the pipeline is compared with the preset standard evaluation value of the overall pipeline temperature, the standard evaluation value of the overall pressure of the pipeline, and the standard evaluation value of the overall vibration of the pipeline to determine the overall temperature of the pipeline. Whether the pressure and vibration are abnormal; calculate the overall leakage evaluation value of the pipeline based on the overall pipeline temperature evaluation value, the overall pipeline pressure evaluation value and the overall pipeline vibration evaluation value and compare it with the overall pipeline leakage standard evaluation value to determine whether the overall pipeline is Leakage occurs; comprehensive monitoring of pipeline leakage is achieved, improving the accuracy and timeliness of pipeline leakage monitoring.

Specifically, in step S1 of this embodiment, the detected pipeline is evenly divided into several detection points according to fixed lengths, including the first detection point A1, the second detection point A2... the nth detection point Position An, for any detection point, the temperature sensor 1, the pressure sensor 2 and the vibration sensor 3 are provided, and the actual value of each detection point is obtained according to the set temperature sensor 1, pressure sensor 2 and vibration sensor 3. The temperature value, actual pressure value and actual vibration value are determined based on the relationship between the actual temperature value, actual pressure value and actual vibration value obtained at each detection point and the preset standard temperature value, standard pressure value and standard vibration value. In the process of determining whether there is leakage in the pipeline, it is necessary to compare the single point temperature, single point pressure and single point vibration with the overall temperature, overall pressure and overall vibration.

Specifically, in this embodiment, for the i-th detection point Ai, the standard maximum temperature value T0 _i and the standard minimum temperature value T0 _i ' are set, and the actual temperature value _Ti of the i-th detection point Ai is obtained, i=1 ,2,...n, perform single-point temperature comparison on the i-th detection point Ai,

If T0 _i '≤T _i ≤T0 _i , it is determined that the temperature at the detection point Ai is normal and there is no leakage in the pipeline at this location;

If T _i <T0 _i ', it is determined that the temperature at the detection point Ai is too low and leakage occurs at this location of the pipeline;

If _Ti > T0 _i , it is determined that the temperature at the detection point Ai is too high and leakage occurs at this location of the pipeline.

Specifically, in this embodiment, the actual temperature values of all detection points are integrated to determine whether the temperature of the entire pipeline is abnormal, the number of detection points with too low temperatures is obtained, and the first temperature score is calculated to obtain the detection points with excessive temperatures. The number of points and calculation of the second temperature score include,

1) Renumber the number of detection points where the temperature is too low and record them as the first low temperature point A11, the second low temperature point A12...the mth low temperature point A1m,

2) Renumber the number of detection points with excessive temperature, recorded as the first high-temperature point A21, the second high-temperature point A22...the k-th high-temperature point A2k,

Determine whether the overall temperature of the detection pipeline is abnormal, calculate the overall temperature evaluation value S1 of the pipeline, and set

Among them, T2y is the actual temperature value of the yth high temperature point, Ey is the high temperature calculation compensation parameter of the actual temperature value of the yth high temperature point to the overall temperature evaluation value S1 of the pipeline; T1x is the actual temperature value of the xth low temperature point, Dx is the low-temperature calculation compensation parameter of the actual temperature value of the The calculated compensation parameter Dx is different depending on the location of different detection points in the pipeline, and the value of the low-temperature calculated parameter Dx is different;

If S11≤S1≤S10, it is determined that the overall temperature of the pipeline is normal.

If S1<S11 or S1>S10, it is determined that the overall temperature of the pipeline is abnormal;

Among them, S10 is the highest standard evaluation value of the overall temperature of the pipeline.

S11 is the lowest standard evaluation value of the overall temperature of the pipeline.

Specifically, in this embodiment, the low-temperature calculation compensation parameter Dx is negatively correlated with the absolute value of the actual temperature value T1x of the x-th low-temperature point,

Dx＝1/(α1+|T1x|)

Wherein, α1 is the first negative feedback compensation parameter of the low temperature calculation compensation parameter Dx,

The high temperature calculation compensation parameter Ey is positively correlated with the actual temperature value T2y of the yth high temperature point,

Ey＝e×T2y

Among them, e is the high temperature calculation adjustment parameter of the actual temperature value T2y at the yth high temperature point to the high temperature calculation compensation parameter Ey,

In this embodiment, when the standard maximum temperature value T0 _i =120°C and the standard minimum temperature T0 _i ′ =-30°C, the first negative feedback compensation parameter α1 =-28.75, and the high-temperature calculation adjustment parameter e =0.002, the highest standard evaluation value of the overall temperature of the pipeline S10 = 10, the lowest standard evaluation value of the overall temperature of the pipeline S11 = -10, when the temperatures at all detection points are standard temperature values, the overall temperature evaluation value of the pipeline The value S1 = 4.8, which meets the standard evaluation range of the overall temperature of the pipeline. When the actual temperature values of all low-temperature points T1x = -73°C, then the low-temperature calculation compensation parameter Dx = 0.023. When the actual temperatures of all high-temperature points are When the value T2y=150°C, the high-temperature calculation compensation parameter Ey=0.3, the calculated overall pipeline temperature evaluation value S1=43.321 at this time is not within the standard evaluation range of the overall pipeline temperature, and the overall pipeline temperature is determined to be abnormal.

Specifically, in this embodiment, for the i-th detection point Ai, the standard maximum pressure value F0 _i and the standard minimum pressure value F0 _i ' are set, and the actual pressure value _Fi of the i-th detection point Ai is obtained, i=1 ,2,...n, perform single-point pressure comparison on the i-th detection point Ai,

If F0 _i ' ≤ F _i ≤ F0 _i , it is determined that the pressure at the detection point Ai is normal and there is no leakage in the pipeline at this location;

If F _i <F0 _i ', it is determined that the pressure at the detection point Ai is too low and leakage occurs at this location of the pipeline;

If F _i > F0 _i , it is determined that the pressure at the detection point Ai is too high and leakage occurs at this location of the pipeline.

Specifically, in this embodiment, the actual pressure values of all detection points are integrated to determine whether the overall pressure of the pipeline is abnormal, the number of detection points with too low pressure is obtained, the first pressure score is calculated, and the detection of excessive pressure is obtained The number of points and calculation of the second pressure score include,

1) Renumber the number of detection points with excessively low pressure and record them as the first low-pressure point A11, the second low-pressure point A12...the p-th low-temperature point A1 p,

2) Renumber the detection points with excessive pressure and record them as the first high-pressure point A21, the second high-pressure point A22...the qth high-pressure point A2q,

Determine whether the overall pressure of the detection pipeline is abnormal, calculate the overall pressure evaluation value S2 of the pipeline, and set

Among them, F2y is the actual pressure value of the yth high-pressure point, Hy is the high-pressure calculation compensation parameter of the actual pressure value of the yth high-pressure point to the pipeline overall pressure evaluation value S2; F1x is the actual pressure value of the xth low-pressure point, Gx is the low-pressure calculation compensation parameter of the actual pressure value of the The calculated compensation parameter Gx is different depending on the location of different detection points in the pipeline, and the value of the low pressure calculated parameter Gx is different;

If S21≤S2≤S20, it is determined that the overall pressure of the pipeline is normal.

If S2<S21 or S2>S20, it is determined that the overall pressure of the pipeline is abnormal;

Among them, S20 is the highest standard evaluation value of the overall pressure of the pipeline.

S21 is the minimum standard evaluation value of the overall pressure of the pipeline.

Specifically, in this embodiment, the low pressure calculation compensation parameter Gx is negatively correlated with the actual pressure value F1x of the xth low pressure point,

Gx＝1/(α2+F1x)

Wherein, α2 is the second negative feedback compensation parameter of the low-voltage calculation compensation parameter Gx,

The high pressure calculation compensation parameter Hy is positively correlated with the actual pressure value F2y of the yth high pressure point,

Hy＝w×F2y

Among them, w is the high pressure calculation adjustment parameter of the actual pressure value F2y at the yth high pressure point to the high pressure calculation compensation parameter Hy,

In this embodiment, when the standard maximum pressure value F0 _i = 0.35Mpa and the standard minimum pressure value F0 _i ' = 0.05Mpa, the second negative feedback compensation parameter α2 = 1.38, and the high-pressure calculation adjustment parameter w = 0.29, The highest standard evaluation value of the overall pressure of the pipeline is S20 = 0.009, and the lowest standard evaluation value of the overall pressure of the pipeline is S21 = 0.0001. When the pressures at all detection points are standard pressure values, the overall pressure evaluation value of the pipeline is S2 =0.001, which meets the standard evaluation range of the overall pressure of the pipeline. When the actual pressure values of all low-pressure points F1x=0.01Mpa, then the low-pressure calculation compensation parameter Gx=0.72. When the actual pressure values of all high-pressure points F2y= When 0.40Mpa, the high-pressure calculation compensation parameter Hy=0.12, the calculated overall pipeline pressure evaluation value S2=0.041 at this time is not within the standard evaluation range of the overall pipeline pressure, and the overall pipeline pressure is determined to be abnormal.

Specifically, in this embodiment, for the i-th detection point Ai, the standard maximum vibration value V0 _i and the standard minimum vibration value V0 _i ' are set, and the actual vibration value _Vi of the i-th detection point Ai is obtained, i=1 ,2,...n, perform single-point vibration comparison on the i-th detection point Ai,

If V0 _i ' ≤ V _i ≤ V0 _i , it is determined that the vibration at the detection point Ai is normal and there is no leakage in the pipeline at this location;

If V _i < V0 _i ', it is determined that the vibration at the detection point Ai is too low and leakage occurs at this location of the pipeline;

If V _i > V0 _i , it is determined that the vibration at the detection point Ai is too high and leakage occurs at this location of the pipeline.

Specifically, in this embodiment, the actual vibration values of all detection points are integrated to determine whether the overall vibration of the pipeline is abnormal, the number of detection points with too low vibration is obtained, the first vibration score is calculated, and the detection of excessive vibration is obtained The number of points and calculation of the second vibration score include,

1) Renumber the number of detection points with too low vibration, recorded as the first low-frequency point A11, the second low-frequency point A12...the r-th low-frequency point A1 r,

2) Renumber the detection points with excessive vibration and record them as the first high-frequency point A21, the second high-frequency point A22...the z-th high-frequency point A2z,

Determine whether the overall vibration of the detected pipeline is abnormal, calculate the overall vibration evaluation value S3 of the pipeline, and set

Among them, V2y is the actual vibration value of the y-th high-frequency point, Jy is the high-frequency calculation compensation parameter of the actual vibration value of the y-th high-frequency point to the overall vibration evaluation value S3 of the pipeline; V1x is the actual vibration value of the x-th low-frequency point. Vibration value, Ox is the actual vibration value of the The value of the low-frequency calculation compensation parameter Ox is different according to the location of different detection points in the pipeline, and the value of the low-frequency calculation parameter Ox is different;

If S31≤S3≤S30, it is judged that the overall vibration of the pipeline is normal.

If S3<S30 or S3>S31, it is determined that the overall vibration of the pipeline is abnormal;

Among them, S30 is the highest standard evaluation value for the overall vibration of the pipeline.

S31 is the lowest standard evaluation value for the overall vibration of the pipeline.

Specifically, in this embodiment, the low-frequency calculation compensation parameter Ox is negatively correlated with the actual vibration value V1x of the x-th low-frequency point,

Ox＝1/(α3+V1x)

Wherein, α3 is the third negative feedback compensation parameter of the low-frequency calculation compensation parameter Ox,

The high-frequency calculation compensation parameter Jy is positively correlated with the actual vibration value V2y of the y-th high-frequency point,

Jy＝u×V2y

Among them, u is the high-frequency calculation adjustment parameter of the actual vibration value V2y at the y-th high-frequency point to the high-frequency calculation compensation parameter Jy,

In this embodiment, when the standard maximum vibration value V0 _i =2.5mm/s and the standard minimum vibration value V0 _i '=0.5mm/s, the third negative feedback compensation parameter α3 =0.93, the high frequency Calculate the adjustment parameter u=0.056, the highest standard evaluation value of the overall vibration of the pipeline S30=0.5, and the lowest standard evaluation value of the overall vibration of the pipeline S31=-0.5. When the vibrations at all detection points are standard vibration values, the The overall vibration evaluation value of the pipeline S3 = -0.14, which meets the standard evaluation range of the overall vibration of the pipeline. When the actual vibration values V1x of all low-frequency points = 0.1mm/s, then the low-frequency calculation compensation parameter Ox = 0.97, When the actual vibration values of all high-frequency points V2y=6mm/s, the high-frequency calculation compensation parameter Jy=0.336, and the overall pipeline vibration evaluation value S3=1.919 is calculated at this time, which is not the standard evaluation of the overall pipeline vibration. Within the range, the overall vibration of the pipeline is determined to be abnormal.

Specifically, in this embodiment, the overall pipeline leakage evaluation value S0 is calculated based on the overall pipeline temperature evaluation value S1, the overall pipeline pressure evaluation value S2 and the overall pipeline vibration evaluation value S3,

Wherein, λ1 is the first difference between the arithmetic mean of the standard evaluation value S10 of the overall temperature of the pipeline and the lowest standard evaluation value S11 of the overall temperature of the pipeline and the evaluation value S1 of the overall temperature of the pipeline. The overall leakage evaluation of the pipeline A first calculated compensation parameter of value S0. The value of the first calculated compensation parameter λ1 is determined by the first difference. The greater the first difference, the greater the value of the first calculated compensation parameter λ1;

λ2 is the second difference between the arithmetic mean of the standard evaluation value S20 of the overall pressure of the pipeline and the lowest standard evaluation value S21 of the overall pressure of the pipeline and the evaluation value S2 of the overall pressure of the pipeline to the overall leakage evaluation value S0 of the pipeline The second calculated compensation parameter, the value of the second calculated compensation parameter λ2 is determined by the second difference. The greater the second difference, the greater the value of the second calculated compensation parameter λ2;

λ3 is the third difference between the arithmetic mean of the standard evaluation value S30 of the overall vibration of the pipeline and the lowest standard evaluation value S31 of the overall vibration of the pipeline and the evaluation value S3 of the overall vibration of the pipeline to the overall leakage evaluation value S0 of the pipeline The third calculated compensation parameter, the value of the third calculated compensation parameter λ3 is determined by the third difference. The greater the third difference, the greater the value of the third calculated compensation parameter λ3;

If S0>S00, it is determined that the entire pipeline is leaking.

If S0≤S00, it is determined that there is no leakage in the entire pipeline.

Among them, S00 is the standard evaluation value of the overall leakage of the pipeline.

Specifically, in this embodiment

If λ1≥λ1’, it is determined that the first difference meets the single condition for determining leakage in the entire pipeline,

If λ2≥λ2’, it is determined that the second difference meets the single condition for determining leakage in the entire pipeline,

If λ3≥λ3’, it is determined that the third difference meets the single condition for determining leakage in the entire pipeline,

Among them, λ1’ is the first calculated compensation evaluation value,

λ2’ is the second calculated compensation evaluation value,

λ3’ is the third calculated compensation evaluation value.

Specifically, in this embodiment, the alarm levels of the overall leakage of the pipeline are divided according to the number of items whose differences meet a single judgment condition.

If the first difference, the second difference, and the third difference all meet a single judgment condition, a three-level alarm signal will be sent to stop the pipeline work in time;

If the items that meet a single judgment condition among the first difference, the second difference, and the third difference are less than or equal to two items, a first-level alarm signal is issued, and the data detection module controls the pipeline. Test again to determine whether a false alarm occurs.

The invention discloses a pipeline leakage monitoring system based on digital twins, which includes a data detection module, a data processing module, a modeling module and a simulation module, wherein: the data detection module is used to detect the real-time temperature of each position of the pipeline. parameters, real-time pressure parameters and real-time vibration parameters; the data processing module is used to collect, analyze and process the real-time parameters detected by the data detection module, and determine the leakage of the pipeline. According to the temperature sensors, The actual temperature value, actual pressure value and actual vibration value detected by each of the pressure sensors and each of the vibration sensors are compared with the preset standard temperature value, standard pressure value and standard vibration value to determine whether leakage occurs at each position of the pipeline. ; Calculate the overall temperature evaluation value of the pipeline based on the actual temperature value detected by each temperature sensor, calculate the overall pressure evaluation value of the pipeline based on the actual pressure value detected by each pressure sensor, calculate the overall vibration evaluation value of the pipeline based on the actual vibration value detected by each vibration sensor, and The preset standard evaluation value of the overall temperature of the pipeline, the standard evaluation value of the overall pressure of the pipeline, and the standard evaluation value of the overall vibration of the pipeline are compared to determine whether the temperature, pressure and vibration of the entire pipeline are abnormal; according to the overall temperature evaluation value of the pipeline, the overall vibration of the pipeline The overall pressure evaluation value and the overall vibration evaluation value of the pipeline calculate the overall leakage evaluation value of the pipeline and compare it with the standard evaluation value of the overall leakage of the pipeline to determine whether leakage occurs in the entire pipeline; the modeling module is used to detect the module based on the data The obtained real-time parameters and the analysis results of the real-time parameters by the data processing module construct a digital twin-based pipeline model; the simulation module is used to construct the digital twin-based pipeline model constructed by the modeling module Conduct simulations to determine the accuracy of digital twin-based pipeline models. It reduces the tediousness of building digital twin models, shortens the development cycle, and realizes the rapid construction of digital twin models; the built digital twin-based pipeline model is optimized through the simulation module to obtain the optimal digital twin pipeline model corresponding to the target business. , ensuring the accuracy of the constructed digital twin pipeline model, achieving comprehensive monitoring of pipeline leakage, and improving the accuracy and timeliness of pipeline leakage monitoring.

Each of the calculation compensation parameters and calculation adjustment parameters in the present invention has two functions. One is to balance the left and right dimensions of the formula, and the other is to adjust the numerical results. In this embodiment, no specific assignment is performed, and each of the calculation parameters in this embodiment has two functions. The calculation formula is used to intuitively reflect the adjustment relationship between various values, such as positive correlation and negative correlation. Without special instructions, parameter values that do not specifically limit the value are all positive.

So far, the technical solution of the present invention has been described with reference to the preferred embodiments shown in the drawings. However, those skilled in the art can easily understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principles of the present invention, those skilled in the art can make equivalent changes or replacements to relevant technical features, and the technical solutions after these changes or replacements will fall within the protection scope of the present invention.

The above descriptions are only preferred embodiments of the present invention and are not intended to limit the present invention; for those skilled in the art, the present invention may have various modifications and changes. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention shall be included in the protection scope of the present invention.

Claims (10)

1. A digital twinning-based pipeline leakage monitoring system is characterized by comprising,

the data detection module comprises a plurality of temperature sensors, a plurality of pressure sensors and a plurality of vibration sensors, and is used for detecting real-time temperature parameters, real-time pressure parameters and real-time vibration parameters of each position of the pipeline;

the data processing module is used for collecting, analyzing and processing the real-time parameters detected by the data detection module, determining the leakage condition of the pipeline, and judging whether the leakage occurs at each position of the pipeline according to the actual temperature values, the actual pressure values and the actual vibration values detected by the temperature sensors, the pressure sensors and the vibration sensors and the preset standard temperature values, standard pressure values and standard vibration values; calculating an overall pipeline temperature evaluation value according to the actual temperature values detected by the temperature sensors, calculating an overall pipeline pressure evaluation value according to the actual pressure values detected by the pressure sensors, and comparing the overall pipeline vibration evaluation value calculated by the actual vibration values detected by the vibration sensors with a preset overall pipeline temperature standard evaluation interval, an overall pipeline pressure standard evaluation interval and an overall pipeline vibration standard evaluation interval to judge whether the overall pipeline temperature, pressure and vibration are abnormal; calculating a pipeline integral leakage evaluation value according to the pipeline integral temperature evaluation value, the pipeline integral pressure evaluation value and the pipeline integral vibration evaluation value, comparing the pipeline integral leakage evaluation value with a pipeline integral leakage standard evaluation value, and judging whether leakage occurs to the whole pipeline;

The modeling module is used for constructing a pipeline model based on digital twinning according to the real-time parameters obtained by the data detection module and the analysis results of the real-time parameters by the data processing module;

and the simulation module is used for performing simulation on the pipeline model based on the digital twin constructed by the modeling module and determining the accuracy of the pipeline model based on the digital twin.

2. The digital twin-based pipeline leakage monitoring system according to claim 1, wherein the detected pipeline is uniformly divided into a plurality of detection points according to a fixed length, the temperature sensor, the pressure sensor and the vibration sensor are arranged on any detection point, different actual temperature values, actual pressure values and actual vibration values are arranged on different detection points, and the actual temperature values, the actual pressure values and the actual vibration values of the obtained detection points are compared with preset actual temperature values, actual pressure values and actual vibration values to determine whether the pipeline is leaked or not.

3. The digital twin based pipeline leakage monitoring system according to claim 2, wherein the comparison process for determining whether the pipeline is leaked comprises single point comparison and integral comparison, and the leakage condition at each position of the pipeline is determined through the single point comparison of each detection point, wherein the single point comparison comprises single point temperature comparison, single point pressure comparison and single point vibration comparison; and carrying out integral comparison by summarizing the actual temperature value, the actual pressure value and the actual vibration value of each detection point, and judging whether the pipeline is wholly leaked or not, wherein the integral comparison comprises integral temperature comparison, integral pressure comparison and integral vibration comparison.

4. The digital twin-based pipeline leakage monitoring system according to claim 3, wherein different standard temperature intervals are set at different detection points, when single-point temperature comparison is performed on any detection point, whether the pipeline position where the detection point is located is leaked or not is judged according to the relation between the actual temperature value detected by the temperature sensor and the corresponding standard temperature interval, and if the actual temperature value exceeds the standard temperature interval, the pipeline position is judged to be leaked;

setting different standard pressure intervals at different detection points, judging whether the position of a pipeline where the detection point is located leaks according to the relation between an actual pressure value detected by the pressure sensor and the corresponding standard pressure interval when single-point pressure comparison is carried out on any detection point, and judging that the position of the pipeline leaks if the actual pressure value exceeds the standard pressure interval;

and setting different standard vibration intervals at different detection points, judging whether the pipeline position where the detection point is located leaks according to the relation between the actual vibration value detected by the vibration sensor and the corresponding standard vibration interval when single-point vibration comparison is carried out on any detection point, and judging that the pipeline position leaks if the actual vibration value exceeds the standard vibration interval.

5. The pipeline leakage monitoring system based on digital twinning according to claim 4, wherein the integration of the actual temperature values of all detection points is performed according to the single-point temperature comparison, the integration comprises renumbering of the number of the detection points with too low temperature and renumbering of the number of the detection points with too high temperature, so that the calculation of the overall pipeline temperature evaluation value is compared with an overall pipeline temperature standard evaluation interval, whether the overall pipeline temperature is abnormal or not is judged, if the overall pipeline temperature evaluation value exceeds the overall pipeline temperature standard evaluation interval, the overall pipeline temperature is abnormal, a temperature abnormality command is sent out by the system, and the data processing module performs specific analysis on the abnormal conditions of overall pressure and overall vibration to judge whether the overall pipeline leakage occurs or not;

integrating actual pressure values of all detection points according to the single-point pressure comparison, namely renumbering the number of the detection points with too low pressure and renumbering the number of the detection points with too high pressure, so that the integral pressure evaluation value of the pipeline is calculated and compared with an integral pressure standard evaluation interval of the pipeline, whether the integral pressure of the pipeline is abnormal or not is judged, if the integral pressure evaluation value of the pipeline exceeds the integral pressure standard evaluation interval of the pipeline, the integral pressure of the pipeline is abnormal, a system sends out a pressure abnormality instruction, and the data processing module specifically analyzes abnormal conditions of integral temperature and integral vibration to judge whether the integral leakage of the pipeline occurs or not;

According to the single-point vibration comparison, the actual vibration values of all detection points are integrated, and the number of the detection points with low vibration and the number of the detection points with high vibration are numbered again, so that the integral vibration evaluation value of the pipeline is calculated and compared with the integral vibration standard evaluation interval of the pipeline, whether the pipeline is wholly vibrated is judged, if the integral vibration evaluation value of the pipeline exceeds the integral vibration standard evaluation interval of the pipeline, the integral vibration of the pipeline is abnormal, a vibration abnormal instruction is sent out by the system, and the data processing module carries out specific analysis on abnormal conditions of integral temperature and integral pressure to judge whether the integral leakage of the pipeline occurs.

6. The digital twin-based pipe leakage monitoring system according to claim 5, wherein for any detection point, if the actual temperature value of the detection point exceeds the standard temperature interval corresponding to the detection point, the classification is performed, wherein the classification includes a low-temperature point and a high-temperature point, the actual temperature value of the low-temperature point is smaller than the lowest temperature value of the standard temperature interval, any low-temperature point is provided with a low-temperature calculation compensation parameter of the low-temperature point for the overall pipe temperature evaluation value, the actual temperature value of the high-temperature point is larger than the highest temperature value of the standard temperature interval, any high-temperature point is provided with a high-temperature calculation compensation parameter of the high Wen Dianwei for the overall pipe temperature evaluation value,

The low-temperature calculation compensation parameter is in negative correlation with the actual temperature value of the low-temperature point location, and the high-temperature calculation compensation parameter is in positive correlation with the actual temperature value of the high-temperature point location;

if the actual pressure value of any detection point exceeds the standard pressure interval corresponding to the detection point, classifying the detection point, wherein the classification comprises a low-pressure point and a high-pressure point, the actual pressure value of the low-pressure point is smaller than the lowest pressure value of the standard pressure interval, any low-pressure point is provided with a low-pressure calculation compensation parameter of the low-pressure point on the whole pressure evaluation value of the pipeline, the actual pressure value of the high-pressure point is larger than the highest pressure value of the standard pressure interval, any high-pressure point is provided with a high-pressure calculation compensation parameter of the high-pressure point on the whole pressure evaluation value of the pipeline,

the low-pressure calculation compensation parameter is in negative correlation with the actual pressure value of the low-pressure point location, and the high-pressure calculation compensation parameter is in positive correlation with the actual pressure value of the high-pressure point location;

for any detection point, if the actual vibration value of the detection point exceeds the standard vibration interval corresponding to the detection point, classifying the detection point, wherein the classification comprises a low-frequency point and a high-frequency point, wherein the actual vibration value of the low-frequency point is smaller than the lowest vibration value of the standard vibration interval, any low-frequency point is provided with a low-frequency calculation compensation parameter of the low-frequency point on the whole vibration evaluation value of the pipeline, the actual vibration value of the high-frequency point is larger than the highest vibration value of the standard vibration interval, any high-frequency point is provided with a high-frequency calculation compensation parameter of the high-frequency point on the whole vibration evaluation value of the pipeline,

The low-frequency calculation compensation parameter and the actual vibration value of the low-frequency point are in negative correlation, and the high-frequency calculation compensation parameter and the actual vibration value of the high-frequency point are in positive correlation.

7. The digital twin based pipe leak monitoring system of claim 6,

calculating a pipeline overall leakage evaluation value from the pipeline overall temperature evaluation value, the pipeline overall pressure evaluation value, and the pipeline overall vibration evaluation value,

if the pipeline integral leakage evaluation value is larger than the pipeline integral leakage standard evaluation value, judging that the pipeline integral leakage occurs, wherein the pipeline integral leakage standard evaluation value is set in the system;

when calculating the pipeline integral leakage evaluation value, a first calculation compensation parameter of the pipeline integral leakage evaluation value is set by a first difference value between an arithmetic average value of the pipeline integral temperature standard evaluation value and a pipeline integral temperature minimum standard evaluation value and the pipeline integral temperature evaluation value, a second calculation compensation parameter of the pipeline integral leakage evaluation value is set by a second difference value between the pipeline integral pressure standard evaluation value and the pipeline integral pressure minimum standard evaluation value and the pipeline integral pressure evaluation value, and a third calculation compensation parameter of the pipeline integral leakage evaluation value is set by a third difference value between the pipeline integral vibration standard evaluation value and the pipeline integral vibration minimum standard evaluation value and the pipeline integral vibration evaluation value.

8. The digital twin based pipe leak monitoring system of claim 7,

when the data processing module determines whether a leak has occurred in the entirety of the pipe,

if the first calculated compensation parameter is greater than or equal to a first calculated compensation evaluation value, the data processing module judges that the first difference value accords with a single judging condition that the whole pipeline leaks;

if the second calculated compensation parameter is greater than or equal to a second calculated compensation evaluation value, the data processing module judges that the second difference value accords with a single judging condition of the integral leakage of the pipeline;

if the third calculation compensation parameter is greater than or equal to the third calculation compensation evaluation value, the data processing module judges that the third difference value accords with a single judging condition of the integral leakage of the pipeline;

wherein the data processing module is internally provided with the first calculation compensation evaluation value,

the data processing module is internally provided with the second calculated compensation evaluation value,

and the data processing module is internally provided with the third calculation compensation evaluation value.

9. The digital twin based pipe leak monitoring system of claim 8,

dividing the alarm level of the whole leakage of the pipeline according to the number of items of which the difference values meet the single judgment condition,

If the first difference value, the second difference value and the third difference value all meet a single judgment condition, a three-level alarm signal is sent out, and the pipeline work is stopped in time;

and if the items meeting the single judgment condition in the first difference value, the second difference value and the third difference value are smaller than or equal to two items, a primary alarm signal is sent out, and the data detection module controls the pipeline to be detected again to judge whether false alarm occurs.

10. A digital twin based pipeline leakage monitoring method according to any of claims 1-9, comprising,

step S1, detecting physical entity data and operation data of a pipeline through a data detection module, and determining physical properties and operation conditions of the pipeline;

step S2, the data processing module collects the detected operation data, analyzes and processes the operation data, and determines whether leakage occurs in the pipeline or not;

step S3, constructing a pipeline model based on digital twinning through the physical entity data in the step S1 and the pipeline leakage condition obtained through analysis and processing in the step S2;

and S4, performing simulation on the pipeline model based on the digital twin constructed in the step S3, verifying the accuracy of the model, and optimizing according to simulation results.