Multi-factor-based vehicle-mounted cruise leak detection risk grading and discrimination method and device

Abstract

The application provides a kind of based on multi-factor's vehicle-mounted cruise leak detection risk grading discrimination method and device, for the problem of more suspected leakage points given by vehicle-mounted leak detection equipment, a series of auxiliary methods for judging leakage are designed, including pipe network parameters, corrosion parameters, repair parameters, etc., combined with suspected point leakage data, by constructing the logical judgment order of quick screening of leakage points, a scientific judgment method and judgment threshold are set, the quick screening of suspected leakage points is realized, the manpower, financial resources and time cost of manual review of suspected leakage points are greatly reduced, the efficiency of fund use and the efficiency of leakage point confirmation are improved, it is convenient for enterprises to master pipeline leakage risk with lower cost and higher efficiency.At the same time, the data fusion application between systems is strengthened, which reflects the goal of improving enterprise operation efficiency through intelligent pipe network digitalization construction.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a method and apparatus for risk classification and discrimination of vehicle cruise leakage detection based on multiple factors. Background Technology

[0002] Vehicle-mounted leak detection equipment is suitable for large-scale gas leak investigations, quickly locating leak areas. Currently, numerous domestic and international companies offer laser detection vehicle services, such as Picarro and ABB. The detection principle of vehicle-mounted leak detection equipment is mainly based on cavity ring-down spectroscopy technology, achieving a detection accuracy 1000 times more sensitive than traditional gas leak detectors (ppb level). It can simultaneously detect methane and ethane concentrations, eliminating interference from methane gas. It can display measurement results in real time via a mobile terminal, including the detection trajectory, type of suspected leak point, suspected leak area, methane and ethane concentration, wind speed and direction, etc., thus achieving intelligent, mobile, and precise leak detection. The detection vehicle has a wide coverage area, detecting leaking gas 100-200 meters from the leak source. Furthermore, mature vehicle-mounted leak detection systems are equipped with sophisticated analysis software, which can not only identify the gas source through algorithms but also trace the leak location by combining data such as wind speed and direction, and methane and ethane concentration distribution, thereby delineating the approximate leak area.

[0003] Currently, some companies' vehicle-mounted leak detection equipment inspection methods mainly adopt "3 full coverage + 1 key inspection". Based on the four inspections and the frequency of gas alarms, a list of suspected leak points is formed. Suspected leak points are then manually verified, mainly by using handheld gas detectors to check the suspected leak areas. However, because vehicle-mounted equipment has high detection accuracy, there are relatively more sources of interference in the environment. The number of suspected leak points reported by vehicle-mounted leak detection equipment is at least 2-3 times more than that of traditional methods. This also results in some false alarms, increasing the amount of manual verification and financial investment.

[0004] Therefore, the existing vehicle-mounted leak detection equipment has the following problems during inspection:

[0005] First, the efficiency of identifying suspected leaks is low. Currently, gas companies manually verify suspected leaks reported by vehicle-mounted leak detection equipment by sending personnel with handheld leak detection devices to the pipeline network near the suspected location. If the methane concentration reaches the corresponding value, it is confirmed as a leak. However, based on the verification results of suspected leaks in recent years, a large number of suspected leaks are still false alarms or have extremely low concentration values. After verification, gas leaks are ruled out, but the process of verifying each leak individually is lengthy and inefficient, affecting the timeliness of the company's leak point control and increasing safety hazards.

[0006] Secondly, manual verification is labor-intensive and costly. Statistics show that manual verification of suspected leak points takes one hour per point and requires two professional technicians and gas leak detection equipment. However, due to the high alarm rate of suspected leak points on vehicle-mounted leak detection equipment, a large number of suspected leak points often require a long time and significant investment to complete the leak point confirmation work, resulting in a substantial investment of manpower, financial resources, and time for enterprises.

[0007] Third, there is a lack of integration between various systems and parameters. With the construction of smart pipeline digitalization, most gas companies have formed multiple digital systems, but these systems exist in silos with low data integration, and the goal of improving the company's operational efficiency has not been achieved through the construction of smart pipeline digitalization. Summary of the Invention

[0008] The present invention aims to provide a multi-factor-based method and apparatus for risk classification and discrimination of vehicle cruise leakage detection, which overcomes or at least partially solves the above problems.

[0009] To achieve the above objectives, the technical solution of the present invention is specifically implemented as follows:

[0010] One aspect of the present invention provides a multi-factor-based method for risk classification and discrimination of in-vehicle cruise leakage detection, comprising:

[0011] Set threshold values ​​for key parameters, wherein the key parameters are predetermined and include: pipe diameter, corrosion protection layer damage points, cathodic protection / pipe-to-ground potential, and historical leakage conditions;

[0012] The process involves acquiring suspected leak points reported by the vehicle-mounted leak detection equipment, mapping these suspected leak points to adjacent pipelines, and executing a process of retrieving information to determine the risk level.

[0013] The risk level determination of the retrieved information includes:

[0014] Retrieve information on damage points in the anti-corrosion coating of the corresponding pipe section. If damage points are found, the risk level is determined to be 1; if no damage points are found, retrieve cathodic protection information; if cathodic protection is in place, adjust the pipe diameter parameters. If the pipe diameter is not greater than 200mm, the risk level is determined to be 4; if the pipe diameter is greater than 200mm, the risk level is determined to be 5; if there is no cathodic protection, retrieve the pipe-to-ground potential. If the pipe-to-ground potential is less than -0.5V... CSE If the pipe diameter is greater than 200mm, the risk level is determined to be 4; if the pipe diameter is not greater than 200mm, the risk level is determined to be 3; if the pipe-to-ground potential is not less than -0.5V. CSEIf no historical leakage events are found, the pipe diameter parameter is retrieved. If the pipe diameter is not greater than 200mm, the risk level is determined to be 2; if the pipe diameter is greater than 200mm, the risk level is determined to be 3; if there are historical leakage events, the risk level is determined to be 1.

[0015] The threshold for setting the key parameter includes:

[0016] The threshold value for the pipe diameter is set to DN200;

[0017] The criteria for determining the damage point of the anti-corrosion layer are defined as having a damage point and not having a damage point;

[0018] The threshold value for the pipe-to-ground potential is set to -0.5V. CSE ;

[0019] The criteria for determining the historical leakage situation are defined as either leakage or no leakage.

[0020] The method also includes: outputting suggestion information.

[0021] The output suggestion information includes:

[0022] If the risk level is 1, output information suggesting priority review.

[0023] If the risk level is 2, output a recommendation for short-term review.

[0024] If the risk level is 3, output a recommendation for long-term review.

[0025] If the risk level is 4, the output should suggest that the information not be reviewed for the time being.

[0026] If the risk level is 5, the output recommendation does not require information review.

[0027] Another aspect of the present invention provides a multi-factor-based vehicle cruise leak detection risk classification and discrimination device, comprising:

[0028] The setting module is used to set the threshold values ​​of key parameters, wherein the key parameters are predetermined and include: pipe diameter, anti-corrosion layer damage points, cathodic protection / pipe-to-ground potential, and historical leakage conditions.

[0029] The acquisition module is used to acquire suspected leak points reported by the vehicle-mounted leak detection equipment, map the suspected leak points to adjacent pipelines, and notify the retrieval module and the judgment module to execute the process of retrieving information to determine the risk level.

[0030] The retrieval module is used to retrieve information on damage points in the anti-corrosion coating of the corresponding pipe section. If a damage point is found, the judgment module is notified to determine the risk level as 1. If no damage point is found, cathodic protection information is retrieved. If cathodic protection is in place, the pipe diameter parameter is adjusted. When the pipe diameter is not greater than 200mm, the judgment module is notified to determine the risk level as 4; when the pipe diameter is greater than 200mm, the judgment module is notified to determine the risk level as 5. If there is no cathodic protection, the pipe-to-ground potential is retrieved. If the pipe-to-ground potential is less than -0.5V... CSE If the pipe diameter is greater than 200mm, the judgment module is notified to determine the risk level as 4; if the pipe diameter is not greater than 200mm, the judgment module is notified to determine the risk level as 3; if the pipe-to-ground potential is not less than -0.5V CSE If no historical leakage events are found, the pipe diameter parameter is retrieved. If the pipe diameter is not greater than 200mm, the judgment module is notified to determine the risk level as 2; if the pipe diameter is greater than 200mm, the judgment module is notified to determine the risk level as 3; if there are historical leakage events, the judgment module is notified to determine the risk level as 1.

[0031] The setting module sets the threshold of the key parameter in the following manner:

[0032] The threshold value for the pipe diameter is set to DN200;

[0033] The criteria for determining the damage point of the anti-corrosion layer are defined as having a damage point and not having a damage point;

[0034] The threshold value for the pipe-to-ground potential is set to -0.5V. CSE ;

[0035] The criteria for determining the historical leakage situation are defined as either leakage or no leakage.

[0036] The device also includes an output module for outputting suggestion information.

[0037] The output module outputs suggestion information in the following manner:

[0038] If the risk level is 1, output information suggesting priority review.

[0039] If the risk level is 2, output a recommendation for short-term review.

[0040] If the risk level is 3, output a recommendation for long-term review.

[0041] If the risk level is 4, the output should suggest that the information not be reviewed for the time being.

[0042] If the risk level is 5, the output recommendation does not require information review.

[0043] Therefore, the multi-factor-based vehicle-mounted cruise leak detection risk classification and discrimination method and device provided by this invention addresses the problem of numerous suspected leak points identified by vehicle-mounted leak detection equipment. It designs a series of auxiliary leak discrimination methods covering pipeline parameters, corrosion parameters, and emergency repair parameters. Combining suspected leak point data, it constructs a logical judgment order for rapid leak point screening, sets scientific judgment methods and thresholds, and achieves rapid screening of suspected leak points. This significantly reduces the manpower, financial resources, and time costs of manual verification of suspected leak points, improves the efficiency of fund utilization and leak point confirmation, and allows enterprises to grasp pipeline leak risks more efficiently and at a lower cost. Simultaneously, it strengthens the data integration and application between various systems, reflecting the goal of improving enterprise operational efficiency through the digital construction of intelligent pipeline networks. Attached Figure Description

[0044] To more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the following description of the embodiments will be briefly introduced. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0045] Figure 1 A flowchart illustrating the multi-factor-based risk classification and discrimination method for vehicle cruise leakage detection provided in this embodiment of the invention;

[0046] Figure 2 A flowchart for determining the risk level of retrieved information provided in this embodiment of the invention;

[0047] Figure 3 A schematic diagram showing the trend of leakage events and pipe diameter in recent years (horizontal axis: pipe diameter) provided for embodiments of the present invention;

[0048] Figure 4 A schematic diagram of recent leakage events and pipe-to-ground potential trends (horizontal axis: pipe-to-ground potential) provided for embodiments of the present invention;

[0049] Figure 5 This is a schematic diagram of the structure of the multi-factor-based vehicle cruise leakage detection risk classification and discrimination device provided in an embodiment of the present invention. Detailed Implementation

[0050] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0051] Figure 1 The flowchart illustrates a multi-factor-based risk classification and discrimination method for vehicle cruise leakage detection provided in an embodiment of the present invention. Figure 2 This illustrates a flowchart of risk level determination based on information retrieval provided in an embodiment of the present invention, combined with... Figure 1 and Figure 2 The multi-factor-based risk classification method for vehicle cruise leakage detection provided in this embodiment of the invention includes:

[0052] S1, set the threshold values ​​for key parameters, where the key parameters are predetermined and include: pipe diameter, corrosion protection layer damage points, cathodic protection / pipe-to-ground potential, and historical leakage conditions.

[0053] Specifically, through statistical analysis of urban gas leak incidents in recent years, three categories and four indicators were identified as key parameters to assist in the judgment of leaks, as shown in Table 1.

[0054]

[0055] Table 1

[0056] Regarding pipelines, since the corrosion rates of different pipe materials are not significantly different in soil environments, pipe wall thickness is given priority. According to design specifications, the pipe diameter is the parameter directly related to pipe wall thickness, so pipe diameter is taken as a key parameter to facilitate enterprise application.

[0057] Regarding corrosion risk, the vast majority of urban gas leaks are caused by corrosion perforation. The first step of corrosion perforation is the appearance of damage points in the anti-corrosion layer, so the presence or absence of damage points in the anti-corrosion layer is considered one of the key parameters. The second step of corrosion perforation is the gradual corrosion of the metal substrate to form holes. This process is greatly affected by the corrosion rate. The cathodic protection / pipe-to-ground potential is related to the corrosion rate, so the cathodic protection / pipe-to-ground potential is considered one of the key parameters.

[0058] Regarding emergency repairs, historical leakage is considered a key factor because if a leak has occurred in the past, and only the location of the leak in the pipeline is repaired without changing the external environment, that section of the pipeline will still be in a risk hotspot, and the risk of leakage will still exist.

[0059] As an optional embodiment of the present invention, setting the threshold values ​​for key parameters includes: setting the pipe diameter threshold to DN200; setting the criteria for determining the damage point of the anti-corrosion layer to have a damage point or not; and setting the threshold value for the pipe-to-ground potential to -0.5V. CSE The criteria for determining historical leakage are set as either leakage or no leakage.

[0060] Specifically, regarding pipe diameter, statistical analysis of the relationship between pipe diameter and leakage in recent years reveals that 77% of leakage incidents occur in pipes with a diameter of DN200 or smaller. Under the same service conditions, smaller pipe diameters and thinner walls lead to faster corrosion and perforation, thus increasing the risk of leakage. Based on these reasons, the pipe diameter threshold is set at DN200. For details, please refer to [link / reference]. Figure 3 .

[0061] For damage points in the anti-corrosion coating, the vast majority of urban gas leaks are caused by corrosion perforation. The first step in corrosion perforation is the appearance of damage points in the anti-corrosion coating. Therefore, a key characteristic that leaks are highly likely to have is the presence of damage points in the anti-corrosion coating. Thus, if the anti-corrosion coating of a pipeline corresponding to a suspected leak point has damage points, the risk of leakage will be very high. Based on the above reasons, the criteria for determining damage points in the anti-corrosion coating are set as the presence or absence of damage points.

[0062] For cathodic protection / pipe-to-ground potential, urban gas corrosion leaks are mainly due to the connection between the pipeline and the electropositive grounding electrode, forming galvanic corrosion and accelerating perforation. Analysis of recent leak incidents and pipe-to-ground potential trends reveals that 82% of leaks occur at a pipe-to-ground potential positive than -0.5V. CSE In other words, the more positive the pipe-to-ground potential, the faster the corrosion rate. Based on this, the threshold for pipe-to-ground potential is set to -0.5V. CSE For details, please refer to Figure 4 .

[0063] Regarding historical leaks, the current strategy of city gas companies for leak repair is still mainly based on localized repairs. This approach does not change the corrosive environment of the pipeline network, and the risk of future leaks in the area remains. For these reasons, the criteria for determining historical leaks are set as "presence / absence of leak."

[0064] S2, obtain the suspected leak points reported by the vehicle-mounted leak detection equipment, map the suspected leak points to the adjacent pipelines, and execute the process of retrieving information to determine the risk level;

[0065] The information retrieval for risk level determination includes:

[0066] Retrieve information on damage points in the anti-corrosion coating of the corresponding pipe section. If damage points are found, the risk level is determined to be 1; if no damage points are found, retrieve cathodic protection information; if cathodic protection is in place, adjust the pipe diameter parameters. When the pipe diameter is not greater than 200mm, the risk level is determined to be 4; when the pipe diameter is greater than 200mm, the risk level is determined to be 5; if there is no cathodic protection, retrieve the pipe-to-ground potential. If the pipe-to-ground potential is less than -0.5V... CSE If the pipe diameter is greater than 200mm, the risk level is determined to be 4; if the pipe diameter is not greater than 200mm, the risk level is determined to be 3; if the pipe-to-ground potential is not less than -0.5V. CSEIf no historical leakage events are found, the pipe diameter parameter is retrieved. If the pipe diameter is no greater than 200mm, the risk level is determined to be 2; if the pipe diameter is greater than 200mm, the risk level is determined to be 3; if there are historical leakage events, the risk level is determined to be 1.

[0067] Specifically, the above judgment process enables rapid screening and tiered verification of suspected leak points, further improving the timeliness and efficiency of leak point identification. Combined with... Figure 2 The leakage risk classification and determination process is further explained as follows:

[0068] The suspected leak points reported by the vehicle-mounted leak detection equipment are mapped to the adjacent pipelines, and the information on the damage points of the anti-corrosion layer of the corresponding pipeline section is retrieved. If there are damage points, the risk level is 1; if there are no damage points, the cathodic protection information is retrieved.

[0069] If cathodic protection is present, adjust the pipe diameter parameter D. When the pipe diameter is no greater than 200 mm, the risk level is 4; when the pipe diameter is greater than 200 mm, the risk level is 5. If there is no cathodic protection, adjust the pipe-to-ground potential U.

[0070] If the pipe-to-ground potential U is less than -0.5V CSE Based on whether the pipe diameter is greater than 200mm, the risk level is determined to be 4 or 3. If the pipe-to-ground potential U is not less than -0.5V... CSE Then, information on historical leaks will be retrieved.

[0071] If there are no historical leakage events, retrieve the pipe diameter parameter D. When the pipe diameter is no greater than 200mm, the risk level is 2; when the pipe diameter is greater than 200mm, the risk level is 3. If there are historical leakage events, the risk level is 1.

[0072] As an optional implementation of this invention, the multi-factor-based vehicle cruise leak detection risk classification method provided by this invention further includes: outputting recommendation information. The output recommendation information includes: if the risk level is 1, outputting recommendation for priority review; if the risk level is 2, outputting recommendation for short-term review; if the risk level is 3, outputting recommendation for long-term review; if the risk level is 4, outputting recommendation for no review; and if the risk level is 5, outputting recommendation that no review is needed.

[0073] Specifically, based on the above process, suspected leak points reported by vehicle-mounted leak detection equipment are categorized into risk levels from 1 to 5, with the leakage risk increasing progressively. The corresponding manual review strategies differ, as shown in the table below. For risk level 1, manual review is recommended immediately. For risk levels 2 and 3, it is recommended that companies develop short-term and long-term review plans based on their own circumstances (human resources, financial resources, maintenance capabilities, number of suspected leak points, etc.), such as a short-term review of 1 week and a long-term review of 1 month. For risk level 4, it is recommended that review not be conducted within the current year, but the leak should be included in the suspected leak database and given special attention during the next year's vehicle-mounted leak detection equipment inspection. For risk level 5, due to the low probability of leakage, review is not recommended. See Table 2 for details.

[0074]

[0075] Table 2

[0076] Therefore, the multi-factor-based vehicle-mounted cruise leak detection risk classification method provided in this invention has designed a series of auxiliary parameters for leak identification, including pipeline parameters, corrosion parameters, and emergency repair parameters. Combined with suspected leak point data, it achieves rapid screening of suspected leak points. It proposes an approach to integrate the leak detection system with the corrosion system and GIS system; simultaneously, it constructs a logical judgment order based on pipeline parameters, corrosion parameters, emergency repair parameters, and rapid leak point screening, and sets scientific judgment methods and thresholds.

[0077] As can be seen, the multi-factor-based vehicle-mounted cruise leak detection risk classification method provided in this invention addresses the problem of numerous suspected leak points identified by vehicle-mounted leak detection equipment. It designs a series of auxiliary leak identification methods covering pipeline parameters, corrosion parameters, and emergency repair parameters. Combining suspected leak point data, it constructs a logical judgment order for rapid leak point screening, sets scientific judgment methods and thresholds, and achieves rapid screening of suspected leak points. This significantly reduces the manpower, financial resources, and time costs of manual verification of suspected leak points, improves the efficiency of fund utilization and leak point confirmation, and allows enterprises to grasp pipeline leak risks more efficiently and at a lower cost. Simultaneously, it strengthens the data integration and application between various systems, reflecting the goal of improving enterprise operational efficiency through the digital construction of intelligent pipeline networks.

[0078] Below are some specific examples of leakage risk level classification:

[0079] 1. A leak detection vehicle detected a suspected leak at a certain location. However, a corrosion protection test report from a nearby pipeline showed no damage to the corrosion protection layer. Cathodic protection was not designed into the pipeline during construction. A pipe-to-ground potential test revealed a potential of -0.45V. CSE greater than -0.5V CSENo leakage accidents have occurred in recent years; the pipe diameter is DN200mm, based on this, the leakage risk level here is judged to be level 2.

[0080] 2. A leak detection vehicle detected a suspected leak point in a certain location. The inspection report of the anti-corrosion layer of the adjacent pipeline showed no damage to the anti-corrosion layer. Magnesium sacrificial anodes were buried during pipeline construction. The pipeline diameter is DN400mm, which is greater than 200mm. Based on this, the leak risk level at this location is determined to be level 5.

[0081] Figure 5 This diagram illustrates the structure of a multi-factor-based vehicle cruise leak detection risk classification and discrimination device provided in an embodiment of the present invention. This device applies the aforementioned method. The following is only a brief description of the structure of the multi-factor-based vehicle cruise leak detection risk classification and discrimination device. For other matters not covered herein, please refer to the relevant descriptions in the aforementioned multi-factor-based vehicle cruise leak detection risk classification and discrimination method. Figure 5 The multi-factor-based vehicle cruise leakage detection risk classification and discrimination device provided in this embodiment of the invention includes:

[0082] The setting module is used to set the threshold values ​​of key parameters. The key parameters are predetermined and include: pipe diameter, corrosion protection layer damage points, cathodic protection / pipe-to-ground potential, and historical leakage conditions.

[0083] The acquisition module is used to acquire suspected leak points reported by the vehicle-mounted leak detection equipment, map the suspected leak points to the adjacent pipelines, and notify the retrieval module and the judgment module to execute the process of retrieving information to determine the risk level.

[0084] The retrieval module retrieves information on damage points in the anti-corrosion coating of the corresponding pipe section. If damage points are found, the judgment module is notified to determine the risk level as 1. If no damage points are found, cathodic protection information is retrieved. If cathodic protection is in place, the pipe diameter parameters are adjusted. When the pipe diameter is not greater than 200mm, the judgment module is notified to determine the risk level as 4; when the pipe diameter is greater than 200mm, the judgment module is notified to determine the risk level as 5. If there is no cathodic protection, the pipe-to-ground potential is retrieved. If the pipe-to-ground potential is less than -0.5V... CSE If the pipe diameter is greater than 200mm, the judgment module will determine the risk level as 4; if the pipe diameter is not greater than 200mm, the judgment module will determine the risk level as 3; if the pipe-to-ground potential is not less than -0.5V. CSE If no historical leakage events are found, the pipe diameter parameter is retrieved. If the pipe diameter is not greater than 200mm, the judgment module is notified to determine the risk level as 2; if the pipe diameter is greater than 200mm, the judgment module is notified to determine the risk level as 3; if there are historical leakage events, the judgment module is notified to determine the risk level as 1.

[0085] As an optional embodiment of the present invention, the setting module sets the threshold values ​​of key parameters in the following ways: the threshold value for pipe diameter is set to DN200; the criteria for determining the damage point of the anti-corrosion layer are set to either the presence or absence of a damage point; and the threshold value for pipe-to-ground potential is set to -0.5V. CSE The criteria for determining historical leakage are set as either leakage or no leakage.

[0086] As an optional implementation of the present invention, the multi-factor-based vehicle cruise leakage detection risk classification and discrimination device provided in the present invention further includes: an output module for outputting suggestion information.

[0087] As an optional implementation of this invention, the output module outputs the suggested information in the following manner: if the risk level is 1, it outputs the suggested information for priority review; if the risk level is 2, it outputs the suggested information for short-term review; if the risk level is 3, it outputs the suggested information for long-term review; if the risk level is 4, it outputs the suggested information for no review at the moment; if the risk level is 5, it outputs the suggested information for no review.

[0088] Therefore, the multi-factor vehicle-mounted cruise leak detection risk classification and discrimination device provided in this invention has designed a series of auxiliary parameters for leak discrimination, including pipeline parameters, corrosion parameters, and emergency repair parameters. Combined with suspected leak point data, it achieves rapid screening of suspected leak points. It proposes a fusion approach between the leak detection system, corrosion system, and GIS system; simultaneously, it constructs a logical judgment order based on pipeline parameters, corrosion parameters, emergency repair parameters, and rapid leak point screening, and sets scientific judgment methods and thresholds.

[0089] As can be seen, the multi-factor-based vehicle-mounted cruise leak detection risk classification and discrimination device provided in this invention addresses the problem of numerous suspected leak points identified by vehicle-mounted leak detection equipment. It designs a series of auxiliary leak discrimination methods covering pipeline parameters, corrosion parameters, and emergency repair parameters. Combining suspected leak point data, it constructs a logical judgment order for rapid leak point screening, sets scientific judgment methods and thresholds, and achieves rapid screening of suspected leak points. This significantly reduces the manpower, financial resources, and time costs of manual verification of suspected leak points, improves the efficiency of fund utilization and leak point confirmation, and allows enterprises to grasp pipeline leak risks more efficiently and at a lower cost. Simultaneously, it strengthens the data integration and application between various systems, reflecting the goal of improving enterprise operational efficiency through the digital construction of intelligent pipeline networks.

[0090] The above are merely embodiments of this application and are not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A multi-factor-based method for risk classification and discrimination of vehicle-mounted cruise leakage detection, characterized in that, include: Set threshold values ​​for key parameters, wherein the key parameters are predetermined and include: pipe diameter, corrosion protection layer damage points, cathodic protection / pipe-to-ground potential, and historical leakage conditions; The process involves acquiring suspected leak points reported by the vehicle-mounted leak detection equipment, mapping these suspected leak points to adjacent pipelines, and executing a process of retrieving information to determine the risk level. The risk level determination of the retrieved information includes: Retrieve information on damage points in the anti-corrosion coating of the corresponding pipe section. If damage points are found, the risk level is determined to be 1; if no damage points are found, retrieve cathodic protection information; if cathodic protection is in place, adjust the pipe diameter parameters. If the pipe diameter is not greater than 200mm, the risk level is determined to be 4; if the pipe diameter is greater than 200mm, the risk level is determined to be 5; if there is no cathodic protection, retrieve the pipe-to-ground potential. If the pipe-to-ground potential is less than -0.5V... CSE If the pipe diameter is greater than 200mm, the risk level is determined to be 4; if the pipe diameter is not greater than 200mm, the risk level is determined to be 3; if the pipe-to-ground potential is not less than -0.5V. CSE If no historical leakage events are found, the pipe diameter parameter is retrieved. If the pipe diameter is not greater than 200mm, the risk level is determined to be 2; if the pipe diameter is greater than 200mm, the risk level is determined to be 3; if there are historical leakage events, the risk level is determined to be 1.

2. The method according to claim 1, characterized in that, The threshold values ​​for setting the key parameters include: The threshold value for the pipe diameter is set to DN200; The criteria for determining the damage point of the anti-corrosion layer are defined as having a damage point and not having a damage point; The threshold value for the pipe-to-ground potential is set to -0.5V. CSE ; The criteria for determining the historical leakage situation are defined as either leakage or no leakage.

3. The method according to claim 1, characterized in that, Also includes: Output suggested information.

4. The method according to claim 3, characterized in that, The output suggestion information includes: If the risk level is 1, output information suggesting priority review. If the risk level is 2, output a recommendation for short-term review. If the risk level is 3, output a recommendation for long-term review. If the risk level is 4, the output should suggest that the information not be reviewed for the time being. If the risk level is 5, the output recommendation does not require information review.

5. A multi-factor-based vehicle-mounted cruise leak detection risk classification and discrimination device, characterized in that, include: The setting module is used to set the threshold values ​​of key parameters, wherein the key parameters are predetermined and include: pipe diameter, anti-corrosion layer damage points, cathodic protection / pipe-to-ground potential, and historical leakage conditions. The acquisition module is used to acquire suspected leak points reported by the vehicle-mounted leak detection equipment, map the suspected leak points to adjacent pipelines, and notify the retrieval module and the judgment module to execute the process of retrieving information to determine the risk level. The retrieval module is used to retrieve information on damage points in the anti-corrosion coating of the corresponding pipe section. If a damage point is found, the judgment module is notified to determine the risk level as 1. If no damage point is found, cathodic protection information is retrieved. If cathodic protection is in place, the pipe diameter parameter is adjusted. When the pipe diameter is not greater than 200mm, the judgment module is notified to determine the risk level as 4; when the pipe diameter is greater than 200mm, the judgment module is notified to determine the risk level as 5. If there is no cathodic protection, the pipe-to-ground potential is retrieved. If the pipe-to-ground potential is less than -0.5V... CSE If the pipe diameter is greater than 200mm, the judgment module is notified to determine the risk level as 4; if the pipe diameter is not greater than 200mm, the judgment module is notified to determine the risk level as 3; if the pipe-to-ground potential is not less than -0.5V CSE If no historical leakage events are found, the pipe diameter parameter is retrieved. If the pipe diameter is not greater than 200mm, the judgment module is notified to determine the risk level as 2; if the pipe diameter is greater than 200mm, the judgment module is notified to determine the risk level as 3; if there are historical leakage events, the judgment module is notified to determine the risk level as 1.

6. The apparatus according to claim 5, characterized in that, The setting module sets the threshold of the key parameter in the following manner: The threshold value for the pipe diameter is set to DN200; The criteria for determining the damage point of the anti-corrosion layer are defined as having a damage point and not having a damage point; The threshold value for the pipe-to-ground potential is set to -0.5V. CSE ; The criteria for determining the historical leakage situation are defined as either leakage or no leakage.

7. The apparatus according to claim 5, characterized in that, Also includes: The output module is used to output suggested information.

8. The apparatus according to claim 7, characterized in that, The output module outputs suggestion information in the following manner: If the risk level is 1, output information suggesting priority review. If the risk level is 2, output a recommendation for short-term review. If the risk level is 3, output a recommendation for long-term review. If the risk level is 4, the output should suggest that the information not be reviewed for the time being. If the risk level is 5, the output recommendation does not require information review.

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