A mathematical model-based heat pipe leakage detection and positioning method and system

Abstract

The application provides a kind of mathematical model-based heat pipe leakage detection positioning method and system, comprising the following steps: step 1, a plurality of detection points are arranged on the heat pipe to be measured, the performance parameters at each detection point position are respectively obtained, and the environmental performance parameters around each detection point position are respectively obtained, to form the corresponding detection value and detection time at each detection point position;Step 2, the corresponding detection value and detection time at each detection point position obtained are compared with the corresponding preset value in the preset expert database, and the leakage point of the heat pipe to be measured is judged according to the comparison result;The application can more accurately determine the position of the leakage point, effectively solving the defect that the positioning of some heat pipe leakage detection is not accurate.

Description

Technical Field

[0001] This invention belongs to the field of thermal pipeline leakage detection technology, specifically relating to a method and system for detecting and locating thermal pipeline leaks based on a mathematical model. Background Technology

[0002] Centralized heating is the primary heating method in northern my country during winter, and leaks in heating pipelines frequently occur during the heating season. This not only causes significant economic losses to businesses but also affects people's quality of life, leading to water pollution, environmental contamination, and even threats to personal safety. Currently, the technology used by businesses to detect leaks in heating pipelines is relatively outdated. Furthermore, factors such as terrain and environment make leak detection in buried heating pipelines even more difficult. Therefore, timely detection of leaks and accurate location for excavation and maintenance are crucial. This not only reduces the operating costs for businesses but also ensures people's quality of life and safety during winter. Existing technologies lack stable and reliable methods for remotely detecting and locating leaks in heating pipelines. Summary of the Invention

[0003] The purpose of this invention is to provide a method and system for detecting and locating leaks in thermal pipelines based on a mathematical model, which solves the problem of inaccurate location in existing thermal pipeline leak detection methods, leading to increased operating costs for thermal pipelines.

[0004] To achieve the above objectives, the technical solution adopted by the present invention is as follows:

[0005] This invention provides a method for detecting and locating leaks in thermal pipelines based on a mathematical model, comprising the following steps:

[0006] Step 1: Set up multiple detection points on the thermal pipeline to be tested, and obtain the performance parameters at each detection point and the surrounding environmental performance parameters at each detection point to form the detection value and detection time corresponding to each detection point.

[0007] Step 2: Compare the detection value and detection time corresponding to each detection point with the corresponding preset value in the preset expert database, and determine the leakage point of the heat pipeline to be tested based on the comparison results.

[0008] Preferably, a thermal pipeline leak detector is used to obtain the performance parameters at each detection point and the surrounding environmental performance parameters at each detection point.

[0009] Preferably, in step 2, the specific method for constructing the preset expert database is as follows:

[0010] A heat pipe without leaks is set up, and multiple detection points are set up on the heat pipe. Data is collected multiple times at each detection point. Each data collection is used to obtain the performance parameters at each detection point or the performance parameters of the surrounding environment at each detection point, forming the corresponding detection value and detection time at each detection point.

[0011] The data collected multiple times at each detection point were denoised.

[0012] The data after noise reduction is arithmetically averaged to obtain the preset value corresponding to each detection point. The arithmetic preset value includes the performance parameter at each detection point location or the performance parameter of the surrounding environment at each detection point location.

[0013] Preferably, in step 2, the detection value and detection time corresponding to each detection point are compared with the corresponding preset values ​​in the preset expert database, and the leakage point of the heat pipe to be tested is determined based on the comparison results. The specific method is as follows:

[0014] When the data at a certain detection point is abnormal, it is then determined whether the data at the detection points to the left and right of that detection point are also abnormal, where:

[0015] If the data at the left detection point is abnormal, while the data at the right detection point is normal, then the data at that detection point will be used as the basis for the decision. Data at the location of the detection point on the left and preset values Identify the leak point;

[0016] If the data at the left detection point is normal, but the data at the right detection point is abnormal, then the data at that detection point will be used as the basis for the decision. Data at the location of the detection point on the right and preset values Identify the leak point;

[0017] If the data at both the left and right detection points are abnormal, then the data at that specific detection point will be used as the basis for the decision. Data at the location of the detection point on the left Data at the location of the detection point on the right and preset values Identify the leak point;

[0018] If the data at both the left and right detection points are normal, then it is determined that a leak has occurred at that detection point.

[0019] Preferably, if the data at the left detection point is abnormal, while the data at the right detection point is normal, then the data at that detection point is used as the basis for the decision. Data at the location of the detection point on the left and preset values To determine the leak point, the specific method is as follows:

[0020] when If the leak occurs, it is determined that a leak has occurred in the thermal pipeline between the detection point and the left-side detection point, and near the location of the detection point.

[0021] when If the leak occurs, it is determined that a thermal pipeline located between the detection point and the left-side detection point, and near the left-side monitoring point, has leaked.

[0022] when If the leak occurs, it is determined that a leak has occurred in the thermal pipeline at the midpoint between the detection point and the left detection point.

[0023] Preferably, if the data at the left detection point is normal, but the data at the right detection point is abnormal, then the data at that detection point is used as the basis for the decision. Data at the location of the detection point on the right and preset values To determine the leak point, the specific method is as follows:

[0024] when If the leak occurs, it is determined that a thermal pipeline between the detection point and the right-side detection point, and near the location of the detection point, has leaked.

[0025] when If the leak occurs, it is determined that a leak has occurred in the thermal pipeline between the detection point and the right-side detection point, and near the right-side detection point.

[0026] when If the leak occurs, it is determined that a leak has occurred in the thermal pipeline at the midpoint between the detection point and the right-side detection point.

[0027] Preferably, if the data at both the left and right detection point locations are abnormal, then the data at a specific detection point is used as the basis for the decision. Data at the location of the detection point on the left Data at the location of the detection point on the right and preset values To determine the leak point, the specific method is as follows:

[0028] when and If the test result is positive, it is determined that the thermal pipes located between the test point and the left test point and near the test point, as well as between the test point and the right test point and near the test point, have leaked.

[0029] when and If the test result is positive, it is determined that the thermal pipes located between the test point and the left test point and near the test point, and between the test point and the right test point and near the right test point, have both leaked.

[0030] when and If the leak occurs, it is determined that the thermal pipes located between the detection point and the left detection point and near the detection point, as well as the pipes located in the middle between the detection point and the right detection point, have leaked.

[0031] when and If the test result is positive, it is determined that a leak has occurred in the thermal pipeline between the test point and the left test point and near the left test point, and between the test point and the right test point and near the test point.

[0032] when and If the test result is positive, it is determined that a leak has occurred in the thermal pipeline between the test point and the left test point and near the left test point, and between the test point and the right test point and near the right test point.

[0033] when and If the leak occurs, it is determined that the thermal pipes at the location between the detection point and the left detection point and near the left detection point, as well as at the midpoint between the detection point and the right detection point, have both leaked.

[0034] when and If the leak occurs, it is determined that a leak has occurred in the thermal pipeline at the midpoint between the detection point and the left detection point, and at the location between the detection point and the right detection point and close to the detection point.

[0035] when and If the leak occurs, it is determined that a leak has occurred in the thermal pipeline at the midpoint between the detection point and the left detection point, and at the location between the detection point and the right detection point, near the right detection point.

[0036] when and If the leak occurs, it is determined that the thermal pipeline at the midpoint between the detection point and the left detection point, and at the midpoint between the detection point and the right detection point, has leaked.

[0037] A thermal pipeline leak detection and location system based on a mathematical model includes:

[0038] The parameter acquisition unit is used to set up multiple detection points on the thermal pipeline under test, and acquire the performance parameters at each detection point and the surrounding environmental performance parameters at each detection point, so as to form the detection value and detection time corresponding to each detection point.

[0039] The leak point determination unit is used to compare the detection value and detection time corresponding to each detection point with the corresponding preset value in the preset expert database, and determine the leak point of the thermal pipeline under test based on the comparison result.

[0040] Compared with the prior art, the beneficial effects of the present invention are:

[0041] This invention provides a method for detecting and locating leaks in thermal pipelines based on a mathematical model. The data from the detection point, the left side of the detection point, and the right side of the detection point are processed and compared with preset values ​​in an expert database. This allows for a more accurate determination of the location of the leak point, effectively solving the problem of inaccurate location in some thermal pipeline leak detection methods. Attached Figure Description

[0042] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0043] The present invention will now be described in further detail with reference to the accompanying drawings.

[0044] like Figure 1 As shown, the thermal pipeline leak detection and location method based on a mathematical model of the present invention includes the following steps:

[0045] Step 1: Install the thermal pipeline leak detector and construct a mathematical model for thermal pipeline leak detection. The specific process is as follows:

[0046] Step 101: When laying the heating pipes, install a heating pipe leak detector at every section, and record the length of each section of heating pipe and the installation position of each heating pipe leak detector on the heating pipe.

[0047] Step 102: Construct a mathematical model for detecting leaks in thermal pipelines on the monitoring computer. The mathematical model displays a thermal pipeline layout diagram drawn based on the on-site thermal pipeline layout, and shows the length of each section of thermal pipeline and the installation position of each thermal pipeline leak detector on the thermal pipeline.

[0048] Step 2: Detection and location of leaks in heating pipelines. The specific process is as follows:

[0049] Step 201: The thermal pipeline leak detector detects the performance parameters of the thermal pipeline at its location or the performance parameters of its surrounding environment, and transmits the detected signals to the monitoring computer.

[0050] Step 202: The monitoring computer stores the received thermal pipeline performance parameters or surrounding environmental performance parameters in a one-to-one correspondence according to time, detection location, and detection value; at the same time, the monitoring computer compares the received thermal pipeline performance parameters or surrounding environmental performance parameters with the thermal pipeline performance parameters or surrounding environmental performance parameters stored in the pre-built expert database, determines the location of the thermal pipeline leak, and displays the thermal pipeline leak location on the thermal pipeline leak detection mathematical model until the leak danger is eliminated.

[0051] In this embodiment, the thermal pipeline leak detector is used to detect the soil temperature at the installation location of the thermal pipeline.

[0052] In this embodiment, the thermal pipeline leak detector is used to detect the pipeline pressure at the installation location of the thermal pipeline leak detector.

[0053] In this embodiment, the method for pre-constructing an expert database stored in a monitoring computer is as follows: under the condition that no leakage occurs in the heat pipe, data detected by the heat pipe leak detector is collected multiple times, and after data noise removal, an arithmetic average is performed to obtain the heat pipe performance parameters or the surrounding environment performance parameters at the installation location of each heat pipe leak detector, and these parameters are stored to construct the expert database.

[0054] In this embodiment, the monitoring computer in step 202 compares the received thermal pipeline performance parameters or surrounding environmental performance parameters with the thermal pipeline performance parameters or surrounding environmental performance parameters stored in a pre-built expert database to determine the location of the thermal pipeline leak. The method used is as follows:

[0055] When an abnormal signal is detected by a certain heat pipe leak detector, focus on checking whether the signal detected by the heat pipe leak detector located to its left or right is also abnormal.

[0056] When the signal detected by the heat pipe leak detector on its left is also abnormal, but the signal detected by the heat pipe leak detector on its right is not abnormal, then a comparison is made. and The size, when At that time, it was determined that a leak had occurred in the heating pipe located to the left of the installation position of the heating pipe leak detector, near the installation position of the heating pipe leak detector.

[0057] when At that time, it was determined that a leak had occurred in the thermal pipeline near the left side of the installation location of the thermal pipeline leak detector.

[0058] when At that time, it was determined that a leak had occurred in the thermal pipeline at the midpoint between the installation location of the thermal pipeline leak detector and the installation location of the thermal pipeline leak detector on its left.

[0059] When the signal detected by the heat pipe leak detector on its right is abnormal, but the signal detected by the heat pipe leak detector on its left is not abnormal, the comparison... and The size, when At that time, it was determined that a leak had occurred in the heating pipe located to the right of the installation position of the heating pipe leak detector, near the installation position of the heating pipe leak detector.

[0060] when At that time, it was determined that a leak had occurred in the thermal pipeline near the installation location of the thermal pipeline leak detector on the right side of its installation location;

[0061] when At that time, it was determined that a leak had occurred in the thermal pipeline at the midpoint between the installation location of the thermal pipeline leak detector and the installation location of the thermal pipeline leak detector on its right.

[0062] When both the signal detected by the thermal pipeline leak detector on its left and the signal detected by the thermal pipeline leak detector on its right are abnormal, compare... and Size, and and Size; when and At that time, it was determined that both the thermal pipe on the left side of the installation location of the thermal pipe leak detector and the thermal pipe on the right side of the installation location of the thermal pipe leak detector had leaked.

[0063] when and At that time, it was determined that both the thermal pipe on the left side of the installation location of the thermal pipe leak detector, close to the installation location of the thermal pipe leak detector, and the thermal pipe on the right side of the installation location of the thermal pipe leak detector, close to its right side, had leaked.

[0064] when and At that time, it was determined that the thermal pipe on the left side of the installation position of the thermal pipe leak detector, close to the installation position of the thermal pipe leak detector, and the thermal pipe at the midpoint between the installation position of the thermal pipe leak detector and the installation position of the thermal pipe leak detector on the right side had leaked;

[0065] when and At that time, it was determined that the thermal pipeline on the left side of the installation position of the thermal pipeline leak detector, close to the left side of the installation position of the thermal pipeline leak detector, and the thermal pipeline on the right side of the installation position of the thermal pipeline leak detector, close to the installation position of the thermal pipeline leak detector, both had leaks.

[0066] when and At that time, it was determined that the thermal pipeline at the left side of the installation position of the thermal pipeline leak detector, close to its left side, and the thermal pipeline at the right side of the installation position of the thermal pipeline leak detector, close to its right side, both had leaks.

[0067] when and At that time, it was determined that the thermal pipeline near the left side of the thermal pipeline leak detector installation position, and the thermal pipeline at the midpoint between the installation position of the thermal pipeline leak detector and the installation position of the thermal pipeline leak detector on the right side, had leaked.

[0068] when and At that time, it was determined that the thermal pipeline at the midpoint between the installation position of the thermal pipeline leak detector and the installation position of the thermal pipeline leak detector to its left, as well as the thermal pipeline to the right of the installation position of the thermal pipeline leak detector near the installation position of the thermal pipeline leak detector, had leaks.

[0069] when and At that time, it was determined that the thermal pipeline at the midpoint between the installation position of the thermal pipeline leak detector and the installation position of the thermal pipeline leak detector to its left, as well as the thermal pipeline at the right side of the installation position of the thermal pipeline leak detector near its right side, had leaked.

[0070] when and At that time, it was determined that the thermal pipeline at the midpoint between the installation position of the thermal pipeline leak detector and the installation position of the thermal pipeline leak detector on its left, and the thermal pipeline at the midpoint between the installation position of the thermal pipeline leak detector and the installation position of the thermal pipeline leak detector on its right had leaked.

[0071] When neither the signal detected by the thermal pipeline leak detector on its left nor the signal detected by the thermal pipeline leak detector on its right is abnormal, it is determined that a leak has occurred in the thermal pipeline at the location where the thermal pipeline leak detector is installed.

[0072] in, The signal detected by the thermal pipeline leak detector indicates an abnormality. The signal detected by the left side of the thermal pipeline leak detector indicates an anomaly. The signal detected by the right side of the thermal pipeline leak detector indicates an anomaly. The threshold values ​​for signals detected by thermal pipeline leak detectors are stored in the expert database.

[0073] This invention combines a mathematical model, a thermal pipeline leak detector, and an expert database to reliably and stably achieve remote detection and location of thermal pipeline leaks.

[0074] This invention also provides a thermal pipeline leak detection and location system based on a mathematical model, comprising:

[0075] The parameter acquisition unit is used to set up multiple detection points on the thermal pipeline under test, and acquire the performance parameters at each detection point and the surrounding environmental performance parameters at each detection point, so as to form the detection value and detection time corresponding to each detection point.

[0076] The leak point determination unit is used to compare the detection value and detection time corresponding to each detection point with the corresponding preset value in the preset expert database, and determine the leak point of the thermal pipeline under test based on the comparison result.

[0077] The above description is merely a preferred embodiment of the present invention and does not constitute any limitation on the present invention. Any simple modifications, alterations, or equivalent structural changes made to the above embodiments based on the technical essence of the present invention shall still fall within the protection scope of the present invention.

Claims

1. A method for detecting and locating leaks in thermal pipelines based on a mathematical model, characterized in that, Includes the following steps: Step 1: Set up multiple detection points on the thermal pipeline to be tested, and obtain the performance parameters at each detection point and the surrounding environmental performance parameters at each detection point to form the detection value and detection time corresponding to each detection point. Step 2: Compare the detection value and detection time corresponding to each detection point with the corresponding preset value in the preset expert database, and determine the leakage point of the heat pipeline to be tested based on the comparison results; In step 2, the detection value and detection time corresponding to each detection point are compared with the corresponding preset values ​​in the preset expert database. Based on the comparison results, the leak point of the heat pipe to be tested is determined. The specific method is as follows: When the data at a certain detection point is abnormal, it is then determined whether the data at the detection points to the left and right of that detection point are also abnormal, where: If the data at the left detection point is abnormal, while the data at the right detection point is normal, then the data at that detection point will be used as the basis for the decision. Data at the location of the detection point on the left and preset values Identify the leak point; If the data at the left detection point is normal, but the data at the right detection point is abnormal, then the data at that detection point will be used as the basis for the decision. Data at the location of the detection point on the right and preset values Identify the leak point; If the data at both the left and right detection points are abnormal, then the data at that specific detection point will be used as the basis for the decision. Data at the location of the detection point on the left Data at the location of the detection point on the right and preset values Identify the leak point; If the data at both the left and right detection points are normal, then it is determined that a leak has occurred at that detection point.

2. The method for detecting and locating leaks in thermal pipelines based on a mathematical model according to claim 1, characterized in that, The performance parameters at each detection point and the surrounding environmental performance parameters at each detection point are obtained using a thermal pipeline leak detector.

3. The method for detecting and locating leaks in thermal pipelines based on a mathematical model according to claim 1, characterized in that, In step 2, the specific method for constructing the pre-defined expert database is as follows: A heat pipe without leaks is set up, and multiple detection points are set up on the heat pipe. Data is collected multiple times at each detection point. Each data collection is used to obtain the performance parameters at each detection point or the performance parameters of the surrounding environment at each detection point, forming the corresponding detection value and detection time at each detection point. The data collected multiple times at each detection point were denoised. The data after noise reduction is arithmetically averaged to obtain the preset value corresponding to each detection point. The arithmetic preset value includes the performance parameter at each detection point location or the performance parameter of the surrounding environment at each detection point location.

4. The method for detecting and locating leaks in thermal pipelines based on a mathematical model according to claim 1, characterized in that, If the data at the left detection point is abnormal, while the data at the right detection point is normal, then the data at that detection point will be used as the basis for the decision. Data at the location of the detection point on the left and preset values To determine the leak point, the specific method is as follows: when If the leak occurs, it is determined that a leak has occurred in the thermal pipeline between the detection point and the left-side detection point, and near the location of the detection point. when If the leak occurs, it is determined that a thermal pipeline located between the detection point and the left-side detection point, and near the left-side monitoring point, has leaked. when If the leak occurs, it is determined that a thermal pipe at the midpoint between a certain detection point and the left-side detection point has leaked.

5. The method for detecting and locating leaks in thermal pipelines based on a mathematical model according to claim 1, characterized in that, If the data at the left detection point is normal, but the data at the right detection point is abnormal, then the data at that detection point will be used as the basis for the decision. Data at the location of the detection point on the right and preset values To determine the leak point, the specific method is as follows: when If the leak occurs, it is determined that a thermal pipeline between the detection point and the right-side detection point, and near the location of the detection point, has leaked. when If the leak occurs, it is determined that a leak has occurred in the thermal pipeline between the detection point and the right-side detection point, and near the right-side detection point. when If the leak occurs, it is determined that a leak has occurred in the thermal pipeline at the midpoint between the detection point and the right-side detection point.

6. The method for detecting and locating leaks in thermal pipelines based on a mathematical model according to claim 1, characterized in that, If the data at both the left and right detection points are abnormal, then the data at that specific detection point will be used as the basis for the decision. Data at the location of the detection point on the left Data at the location of the detection point on the right and preset values To determine the leak point, the specific method is as follows: when and If the test result is positive, it is determined that the thermal pipes located between the test point and the left test point and near the test point, as well as between the test point and the right test point and near the test point, have leaked. when and If the test result is positive, it is determined that the thermal pipes located between the test point and the left test point and near the test point, as well as between the test point and the right test point and near the right test point, have leaked. when and If the leak occurs, it is determined that the thermal pipes located between the detection point and the left detection point and near the detection point, as well as the pipes located in the middle between the detection point and the right detection point, have leaked. when and If the test result is positive, it is determined that a leak has occurred in the thermal pipeline between the test point and the left test point and near the left test point, and between the test point and the right test point and near the test point. when and If the test result is positive, it is determined that a leak has occurred in the thermal pipeline between the test point and the left test point and near the left test point, and between the test point and the right test point and near the right test point. when and If the leak occurs, it is determined that the thermal pipes at the location between the detection point and the left detection point and near the left detection point, as well as at the midpoint between the detection point and the right detection point, have both leaked. when and If the leak occurs, it is determined that a leak has occurred in the thermal pipeline at the midpoint between the detection point and the left detection point, and at the location between the detection point and the right detection point and close to the detection point. when and If the leak occurs, it is determined that a leak has occurred in the thermal pipeline at the midpoint between the detection point and the left detection point, and at the location between the detection point and the right detection point, near the right detection point. when and If the leak occurs, it is determined that the thermal pipeline at the midpoint between the detection point and the left detection point, and at the midpoint between the detection point and the right detection point, has leaked.

7. A thermal pipeline leak detection and location system based on a mathematical model, characterized in that, Based on the method of claim 1, the system comprises: The parameter acquisition unit is used to set up multiple detection points on the thermal pipeline under test, and acquire the performance parameters at each detection point and the surrounding environmental performance parameters at each detection point, so as to form the detection value and detection time corresponding to each detection point. The leak point determination unit is used to compare the detection value and detection time corresponding to each detection point with the corresponding preset value in the preset expert database, and determine the leak point of the thermal pipeline under test based on the comparison result.

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