A smart gas pipe network stray current protection system and method based on an internet of things

Abstract

The application provides a kind of based on Internet of Things's wisdom gas pipe network stray current protection system and method, it is related to gas pipe network current protection field, the system includes the wisdom gas government safety supervision management platform and wisdom gas government safety supervision object platform etc. of communication connection.The wisdom gas government safety supervision object platform includes gas company management platform, the gas company management platform is configured as: every interval preset period, based on the pipe data of target gas pipeline, the potential monitoring area of target gas pipeline is determined;Based on historical maintenance data, the potential monitoring parameter of potential monitoring area is determined;Based on potential monitoring parameter, the potential difference distribution in potential monitoring area is acquired;And based on potential difference distribution, the drainage parameter of drainage protection equipment in potential monitoring area is determined.The application can accurately judge whether stray current appears, and make targeted stray current drainage scheme.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of gas pipeline network current protection, and particularly relates to a smart gas pipeline network stray current protection system and method based on Internet of Things. BACKGROUND

[0002] Stray current refers to the current flowing along an uncertain path in a random manner. When a gas pipeline is affected by stray current, damage and corrosion may occur. At present, the protection of stray current in the gas pipeline network is mainly achieved by monitoring the stray current in the pipeline, but the selection of the monitoring position of the stray current and the accurate assessment of the influence of the stray current on the gas pipeline are not involved.

[0003] Therefore, it is urgent to provide a smart gas pipeline network stray current protection system and method based on Internet of Things, which can efficiently determine the monitoring position of stray current in the gas pipeline network, quickly obtain the potential change of each monitoring position, and then accurately judge whether stray current occurs and make a targeted stray current drainage scheme. SUMMARY

[0004] To solve the problem of how to select the monitoring position of stray current and assess the influence of stray current on the gas pipeline.

[0005] The summary includes a smart gas pipeline network stray current protection system based on Internet of Things, which comprises a communication-connected smart gas government safety supervision management platform, a smart gas government safety supervision sensor network platform, a smart gas government safety supervision object platform, a gas company sensor network platform and a smart gas equipment object platform; the smart gas government safety supervision object platform comprises a gas company management platform; the gas company management platform comprises a data center, and the gas company management platform is configured to: based on the pipeline data of a target gas pipeline, determine the potential monitoring area of the target gas pipeline every preset period, the potential monitoring area comprising a plurality of potential monitoring points; through the data center, obtain the historical maintenance data of the potential monitoring area; based on the historical maintenance data, determine the potential monitoring parameter of the potential monitoring area; based on the potential monitoring parameter, obtain the potential difference distribution in the potential monitoring area through the smart gas equipment object platform; and based on the potential difference distribution, determine the drainage parameter of the drainage protection equipment in the potential monitoring area, and generate a drainage instruction to send to the smart gas equipment object platform to control the drainage protection equipment to drain.

[0006] The application content comprises a smart gas pipeline network stray current protection method based on Internet of Things, the method is executed by a gas company management platform in a smart gas pipeline network stray current protection system based on Internet of Things, the method comprises: every other preset period, based on pipeline data of a target gas pipeline, determining a potential monitoring area of the target gas pipeline, the potential monitoring area comprises a plurality of potential monitoring points; through the data center, obtaining historical maintenance data of the potential monitoring area; based on the historical maintenance data, determining potential monitoring parameters of the potential monitoring area; based on the potential monitoring parameters, through a smart gas equipment object platform, obtaining a potential difference distribution in the potential monitoring area; and based on the potential difference distribution, determining drainage parameters of a drainage protection device in the potential monitoring area, and generating a drainage instruction and sending to the smart gas equipment object platform to control the drainage protection device to drain.

[0007] The beneficial effects of the present application include but are not limited to: (1) the smart gas pipeline network stray current protection system based on Internet of Things can form an information running closed loop between each functional platform, coordinate and regularly run, and realize the informatization and smartness of smart gas stray current protection; (2) through the pipeline data of different areas, the area needing to monitor stray current can be efficiently determined, and the potential monitoring parameters can be quickly determined through the historical maintenance data, and then the potential changes of each potential monitoring point can be obtained in time, whether stray current appears can be judged, and a targeted stray current drainage scheme can be made; (3) based on the stray current risk, the monitoring coverage rate of the potential monitoring parameters can be evaluated, the potential monitoring points can be increased in time, the points with high stray current risk can be avoided to be missed, and the potential monitoring area can be more comprehensively monitored. BRIEF DESCRIPTION OF DRAWINGS

[0008] The present specification will be further illustrated in the form of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting, and in these embodiments, the same numbers represent the same structures, wherein:

[0009] Figure 1 is a platform structure schematic diagram of a smart gas pipeline network stray current protection system based on Internet of Things according to some embodiments of the present specification;

[0010] Figure 2 is an exemplary flowchart of a smart gas pipeline network stray current protection method based on Internet of Things according to some embodiments of the present specification;

[0011] Figure 3 is an exemplary flowchart of determining potential monitoring parameters according to some embodiments of the present specification;

[0012] Figure 4is an exemplary schematic diagram of a risk assessment model according to some embodiments of the present specification. DETAILED DESCRIPTION

[0013] In order to more clearly illustrate the technical solutions of the present application, the drawings required to be used in the following embodiment description will be briefly introduced. The drawings do not represent all the embodiments.

[0014] It should be understood that the "system", "device", "unit" and / or "module" used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. If other words can achieve the same purpose, the words can be replaced by other expressions.

[0015] Unless the context clearly indicates otherwise, the words "one", "an", "a", and / or "the" do not mean a single number, but can also include a plurality. Generally, the terms "comprise" and "include" only indicate the inclusion of the steps and elements explicitly identified, and these steps and elements do not constitute an exclusive list, and the method or device can also include other steps or elements.

[0016] In the embodiments of the present application, the operations performed in steps are interchangeable unless otherwise specified, and the steps can be omitted, and other steps can be included in the operation process.

[0017] Figure 1 is a platform structure schematic diagram of an Internet of Things-based smart gas pipeline network stray current protection system according to some embodiments of the present specification.

[0018] As Figure 1 shown, the Internet of Things-based smart gas pipeline network stray current protection system 100 includes a communication-connected smart gas government safety supervision management platform 110, a smart gas government safety supervision sensor network platform 120, a smart gas government safety supervision object platform 130, a gas company sensor network platform 140, and a smart gas equipment object platform 150.

[0019] The smart gas government safety supervision management platform 110 refers to a comprehensive management platform for government management of information related to gas safety. In some embodiments, the smart gas government safety supervision management platform is configured on a server of a government department. The smart gas government safety supervision management platform includes a government supervision comprehensive database 111. The government supervision comprehensive database 111 is configured to store and manage information and / or data related to the smart gas government safety supervision management platform.

[0020] The government safety supervision sensing network platform 120 for smart gas refers to a platform used by the government to manage sensing information related to gas safety. In some embodiments, the government safety supervision sensing network platform for smart gas is configured as a communication network or a gateway, etc.

[0021] The government safety supervision object platform 130 for smart gas refers to a platform for generating government supervision information and executing control information.

[0022] In some embodiments, the government safety supervision object platform 130 for smart gas includes a gas company management platform 131.

[0023] The gas company management platform 131 refers to a comprehensive management platform for gas company information. In some embodiments, the gas company management platform is configured on a server inside the gas company.

[0024] In some embodiments, the gas company management platform 131 includes a data center. The data center is configured to store and manage information and / or data related to the Internet of Things-based smart gas pipeline stray current protection system 100. For example, historical maintenance data, pipeline data, etc.

[0025] The gas company sensing network platform 140 refers to a platform for comprehensively managing sensing information of the gas company. In some embodiments, the gas company sensing network platform is configured as a communication network or a gateway, etc.

[0026] The smart gas equipment object platform 150 refers to a functional platform for generating sensing information and executing control information.

[0027] In some embodiments, the smart gas equipment object platform 150 includes at least one of an electrochemical sensor, a monitoring device, a stray current protection device, and an auxiliary facility, etc.

[0028] The electrochemical sensor is configured to obtain corrosion data of the gas pipeline. In some embodiments, the electrochemical sensor is arranged at any feasible position or positions inside the gas pipeline.

[0029] The monitoring device is configured to monitor the potential of the potential monitoring point. The potential difference refers to the difference in potential change. In some embodiments, the monitoring device is arranged around the potential monitoring point, and the potential of one or more potential monitoring points is monitored by moving.

[0030] The stray current protection device is configured to discharge stray currents around the gas pipeline. The stray current refers to an electric current that moves irregularly in the gas pipeline in an indefinite way. In some embodiments, the stray current protection device is arranged at a current facility around the potential monitoring point to discharge the stray current of one or more potential monitoring points. The current facility refers to a facility that may generate stray currents. For example, high-voltage lines, etc.

[0031] The auxiliary facility refers to a facility related to gas transportation. In some embodiments, the auxiliary facility includes at least one of a gas pressure regulating compressor, a gas pipeline solenoid valve, and a gas pipeline temperature control device.

[0032] In some embodiments, the gas company management platform can number the above-mentioned devices or facilities, etc. to distinguish different devices or facilities, etc.

[0033] In some embodiments, the Internet of Things-based smart gas pipeline network stray current protection system 100 can further include a processor. In some embodiments, the processor is configured to process information and / or data related to the Internet of Things-based smart gas pipeline network stray current protection system 100. The processor includes a central processing unit (CPU, application-specific instruction processor (ASIP), graphics processing unit (GPU), etc. or any combination thereof.

[0034] For details of the foregoing, see the relevant description of Figures 2 to 4 .

[0035] In some embodiments of the present specification, the Internet of Things-based smart gas pipeline network stray current protection system can form an information running closed loop between each functional platform, coordinate and run regularly, and realize the informatization and smartization of smart gas stray current protection.

[0036] Figure 2 is an exemplary flowchart of the Internet of Things-based smart gas pipeline network stray current protection method according to some embodiments of the present specification. In some embodiments, the flow 200 is executed by the gas company management platform of the Internet of Things-based smart gas pipeline network stray current protection system. As shown in Figure 2 , the flow 200 includes the following steps.

[0037] Step 210, every preset period, determine the potential monitoring area of the target gas pipeline based on the pipeline data of the target gas pipeline.

[0038] The preset period is pre-set based on historical experience. In some embodiments, the gas company management platform executes the flow 200 once every preset period.

[0039] The target gas pipeline refers to a gas pipeline that needs to be monitored for potential. In some embodiments, the gas company management platform can divide the target gas pipeline into multiple sub-areas according to geographical location or latitude and longitude, etc., and each sub-area corresponds to a part of the target gas pipeline.

[0040] In some embodiments, a plurality of potential monitoring points are pre-set in each sub-region. The potential monitoring point refers to a point in the sub-region for potential monitoring. The potential monitoring points are pre-set based on actual potential monitoring needs. Potential monitoring refers to monitoring the potential change of one or more positions. The potential change can be represented by the difference between the upper limit of the potential and the lower limit of the potential (i.e., the potential difference).

[0041] Pipeline data refers to data related to the gas pipeline. In some embodiments, the pipeline data includes at least one of the pipeline material, the pipeline anticorrosion layer material, the pipeline thickness, and the pipeline size. The pipeline data of the target gas pipeline includes the pipeline data of the plurality of sub-regions corresponding to the target gas pipeline.

[0042] In some embodiments, the gas company management platform can obtain the pipeline data through the data center. The pipeline data is uploaded to the data center by the technician for storage. Since the gas pipeline may be replaced or repaired, etc., resulting in changes in the pipeline data, the technician can update the pipeline data in real time according to the pipeline replacement or repair, etc.

[0043] The potential monitoring region refers to a region on the target gas pipeline that needs to be monitored for potential.

[0044] In some embodiments, the gas company management platform determines a plurality of potential monitoring regions of the target gas pipeline based on the pipeline data of the target gas pipeline. For example, the gas company management platform queries the label corresponding to the pipeline data of the sub-region in the first preset table based on the pipeline data of the plurality of sub-regions of the target gas pipeline, and determines whether the sub-region is a potential monitoring region based on the label. The first preset table includes a plurality of pipeline data and corresponding labels. The label includes a need for potential monitoring and no need for potential monitoring. The gas company management platform determines the sub-region corresponding to the pipeline data with the label of needing potential monitoring as a potential monitoring region.

[0045] In some embodiments, the first preset table is pre-set based on historical experience.

[0046] In step 220, the historical maintenance data of the potential monitoring region is obtained through the data center.

[0047] The historical maintenance data refers to information related to the maintenance of the gas pipeline in a preset historical period. The preset historical period is pre-set based on historical experience. In some embodiments, the historical maintenance data includes historical corrosion data and historical repair data, etc. The gas company management platform obtains the historical maintenance data through the data center.

[0048] The historical corrosion data refers to the corrosion data of the gas pipeline in the preset historical period. The corrosion data includes the corrosion position and the corresponding corrosion rate, etc.

[0049] The historical maintenance data refers to the maintenance data of the gas pipeline in a preset historical period. The maintenance data includes the maintenance position and the corresponding maintenance times.

[0050] In some embodiments, the corrosion data is obtained by an electrochemical sensor and uploaded to the data center storage through the gas company sensor network platform. The maintenance data is uploaded to the data center storage by technicians. For details of the electrochemical sensor, please refer to the related content of Figure 1 .

[0051] In step 230, the potential monitoring parameter of the potential monitoring area is determined based on the historical maintenance data.

[0052] The potential monitoring parameter refers to the parameter when the potential monitoring area is monitored. In some embodiments, the potential monitoring parameter includes the monitoring point distribution of the potential monitoring points to be started and the potential monitoring method of the potential monitoring points to be started. The potential monitoring method includes at least one of direct current potential difference method or alternating current potential difference method.

[0053] The monitoring point distribution is used to represent the position distribution of the potential monitoring points to be started. It can be understood that each time the potential monitoring area is monitored, part or all of the multiple potential monitoring points in the potential monitoring area are started to meet the needs of potential monitoring.

[0054] In some embodiments, the gas company management platform determines the potential monitoring parameter of the potential monitoring area based on the historical maintenance data through multiple ways. For example, the gas company management platform constructs a first clustering vector based on the historical maintenance data of multiple historical target gas pipelines, and takes the corresponding historical potential monitoring parameter as the label of the first clustering vector, constructs a first target vector based on the historical maintenance data of the target gas pipeline, clusters the first clustering vector and the first target vector based on the historical maintenance data as a clustering index to obtain multiple first clustering clusters, determines a clustering cluster containing the first target vector in the multiple first clustering clusters as a first target clustering cluster, and determines the potential monitoring parameter based on the first target clustering cluster. The gas company management platform can filter the first clustering vector that meets the filtering condition from all the first clustering vectors in the first target clustering cluster, and take the label of the first clustering vector as the potential monitoring parameter corresponding to the potential monitoring area. The filtering condition includes that the historical target gas pipeline corresponding to the first clustering vector has the fastest reduction in historical corrosion rate after subsequent drainage based on the corresponding historical potential difference.

[0055] The historical potential monitoring parameter includes the monitoring point distribution of the potential monitoring points actually started and used when the historical target gas pipeline is potential detected, and the potential monitoring method of each potential monitoring point.

[0056] In some embodiments, the historical maintenance data further comprises historical potential difference. The historical potential difference refers to a distribution of potential difference in a preset historical period.

[0057] The potential difference distribution is used to characterize the distribution of potential difference corresponding to the plurality of potential monitoring points, including the positions of the plurality of potential monitoring points and the corresponding potential difference. For the description of obtaining the potential difference distribution and controlling the drainage protection device to drain based on the potential difference distribution, see steps 240 and 250 and the related description thereof.

[0058] In some embodiments, the gas company management platform obtains the historical potential monitoring parameters and the historical potential difference through the data center.

[0059] In some embodiments, the gas company management platform can further determine the stray current risk of the plurality of potential monitoring points based on the historical potential difference, and determine the monitoring point position distribution and the potential monitoring mode based on the stray current risk.

[0060] The stray current risk is used to characterize the possibility of stray current occurring in the gas pipeline in a preset future period. The preset future period is set in advance based on historical experience. In some embodiments, the stray current risk can be represented by a level or a numerical value, and the larger the level or the numerical value, the higher the stray current risk.

[0061] In some embodiments, the gas company management platform determines the stray current risk of the plurality of potential monitoring points based on the historical potential difference in multiple ways. For example, the gas company management platform constructs a second clustering vector based on the historical potential difference of the plurality of historical target gas pipelines, and takes the corresponding historical stray current distribution as the label of the second clustering vector, constructs a target vector based on the historical potential difference of the target gas pipeline, clusters the second clustering vector and the second target vector based on the historical potential difference as the clustering index to obtain a plurality of second clustering clusters, determines the second clustering cluster containing the second target vector in the plurality of second clustering clusters as a second target clustering cluster, and determines the stray current risk of the plurality of potential monitoring points based on the second target clustering cluster.

[0062] The historical stray current distribution refers to the position distribution of the potential monitoring point actually generating stray current in the historical target gas pipeline at a second historical time after the historical potential difference corresponding to the historical target gas pipeline is determined at a first historical time. The first historical time is earlier than the second historical time.

[0063] In some embodiments, in response to the difference between the historical potential difference of the potential monitoring point and the corresponding standard potential difference exceeding a difference threshold, the gas company management platform determines that the potential monitoring point has stray current. The standard potential difference refers to the potential difference when the potential monitoring point has no stray current. One potential monitoring point corresponds to one standard potential difference. The standard potential difference is measured and obtained by a technician and input into the data center for storage. The difference threshold is set in advance based on historical experience.

[0064] In some embodiments, for each potential monitoring point, the gas company management platform can screen the ratio of the number of second clustering vectors in which similar monitoring points generate stray current from the total number of second clustering vectors in the second target clustering cluster, and determine the ratio as the stray current risk of the potential monitoring point.

[0065] Similar monitoring points refer to potential monitoring points in the second clustering vectors that are similar to the position of the potential monitoring point in the second target vector. In some embodiments, the gas company management platform can overlap the potential monitoring area with the historical potential monitoring area corresponding to the second clustering vector, establish a coordinate system with the center as the origin, and determine the potential monitoring points of the second clustering vectors that meet the similarity condition in the coordinate system as similar monitoring points. The similarity condition includes that the distance from the potential monitoring point in the second target vector is less than a distance threshold. The distance threshold is pre-set based on historical experience.

[0066] In some embodiments, the gas company management platform obtains historical potential difference and historical stray current distribution through a data center.

[0067] In some embodiments, the gas company management platform can also construct a current protection map corresponding to the potential monitoring area based on the historical potential difference and the regional environmental data, and determine the stray current risk through a risk assessment model based on the current protection map. For more details, please refer to Figure 4 .

[0068] In some embodiments, the gas company management platform determines the potential monitoring points with stray current risk exceeding a first preset risk threshold as potential monitoring points to be started based on the stray current risks of multiple potential monitoring points, determines the potential monitoring mode corresponding to the stray current risk by querying a second preset table, and constructs a monitoring point distribution based on the position of the potential monitoring point to be started and the corresponding potential monitoring mode.

[0069] The second preset table is pre-set based on historical experience and includes multiple stray current risks and point monitoring modes corresponding to different stray current risks.

[0070] In some embodiments, the first preset risk threshold can be determined based on historical experience and can be inversely proportional to the average corrosion rate of the potential monitoring area. The gas company management platform calculates the average of the corrosion rates of each corrosion position in the historical corrosion data as the average corrosion rate.

[0071] It can be understood that the greater the average corrosion rate of the current monitoring area, the more likely the potential monitoring area is to be corroded by stray current. Reducing the first preset risk threshold can set more potential monitoring points to be started, thereby ensuring the comprehensiveness of potential monitoring.

[0072] By considering the historical potential difference, the stray current risk of each potential monitoring point can be more accurately evaluated, and based on the stray current risk, the potential monitoring points and the potential monitoring mode that can better meet the comprehensiveness of potential monitoring can be selected, and then the potential monitoring is more comprehensively performed, which is beneficial to make targeted stray current drainage scheme.

[0073] In some embodiments, the gas company management platform can also determine the monitoring frequency of the monitoring device corresponding to the plurality of potential monitoring points based on the stray current risk. For the description of the monitoring device, see Figure 1 and the related description.

[0074] In some embodiments, the gas company management platform determines the monitoring frequency of the monitoring device corresponding to the single potential monitoring point by querying the monitoring frequency corresponding to the stray current risk in the third preset table based on the stray current risk of the single potential monitoring point.

[0075] The third preset table is pre-set based on historical experience and includes a plurality of stray current risks and the monitoring frequency corresponding to the monitoring device.

[0076] By determining the monitoring frequency of the monitoring device based on the stray current risk, the potential monitoring points that are more likely to have stray current can be intensively monitored, and then it can be determined in a timely manner whether stray current occurs.

[0077] In some embodiments, the gas company management platform can evaluate the monitoring coverage rate of the potential monitoring parameter based on the stray current risk and the potential monitoring parameter of the plurality of potential monitoring points, and determine whether to adjust the potential monitoring parameter based on the monitoring coverage rate. For this part, see Figure 3 and the related description.

[0078] Step 240, based on the potential monitoring parameter, obtaining the potential difference distribution in the potential monitoring area through the smart gas equipment object platform.

[0079] For the description of the potential difference distribution, see step 230 and the related description.

[0080] In some embodiments, the gas company management platform sends the potential monitoring parameter to the monitoring device of the smart gas equipment object platform through the gas company sensing network platform, the monitoring device acquires the potential difference of each potential monitoring point included in the potential monitoring parameter by mobile data acquisition and uploads it to the gas company management platform through the gas company sensing network platform, and the gas company management platform constructs the potential difference distribution based on the position of each potential monitoring point and the corresponding potential difference.

[0081] Step 250, determining the drainage parameter of the drainage protection device in the potential monitoring area based on the potential difference distribution, and generating the drainage instruction to send to the smart gas equipment object platform to control the drainage protection device to drain.

[0082] For the description of the drainage protection device and the related description, please refer to Figure 1

[0083] The drainage parameter refers to a parameter for controlling the drainage protection device to drain. In some embodiments, the drainage parameter includes the drainage protection device that needs to be turned on and the corresponding drainage duration, etc.

[0084] In some embodiments, the gas company management platform can determine multiple potential monitoring points in the potential difference distribution where multiple potential differences exceed a point difference threshold as target monitoring points, determine the drainage protection device closest to the target monitoring point as the drainage protection device that needs to be turned on, and determine the drainage time based on the stray current risk of the target monitoring point. The length of the drainage time is positively correlated with the stray current risk of the target monitoring point. The point difference threshold is positively correlated with the pipe thickness of the potential monitoring area where the potential monitoring point is located.

[0085] In some embodiments, the gas company management platform generates a drainage instruction based on the drainage parameter and sends it to the smart gas equipment object platform through the gas company sensing network platform to control the drainage protection device to drain.

[0086] In some embodiments, the gas company management platform can determine the potential monitoring parameter of each potential monitoring area and obtain the potential difference distribution in each potential monitoring area through the above steps 220-250, and then determine the drainage parameter of each potential monitoring area and control the drainage protection device to drain.

[0087] By analyzing the pipe data of different areas, the area where the stray current needs to be monitored can be efficiently determined, the potential monitoring parameter can be quickly determined through the historical maintenance data, the potential change of each potential monitoring point can be obtained in time, it can be judged whether the stray current appears, and the targeted stray current drainage scheme can be made.

[0088] Figure 3 is an exemplary flowchart for determining the potential monitoring parameter according to some embodiments of the present specification. In some embodiments, the flowchart 300 is executed by the gas company management platform. As Figure 3 shown, the flowchart 300 includes the following steps.

[0089] Step 310, based on the stray current risk and the potential monitoring parameter of the plurality of potential monitoring points, evaluating the monitoring coverage rate of the potential monitoring parameter.

[0090] For the description of the potential monitoring point, the stray current risk, and the potential monitoring parameter, please refer to Figure 2 and the related description.

[0091] ​The monitoring coverage is used to characterize the comprehensive degree of the potential monitoring parameter in monitoring the target gas pipeline.

[0092] In some embodiments, the gas company management platform determines the monitoring coverage of the potential monitoring parameter in multiple ways based on the stray current risk and the potential monitoring parameter of the plurality of potential monitoring points. For example, the gas company management platform calculates the ratio of the number of potential monitoring points whose stray current risk exceeds the preset risk threshold in the potential monitoring parameter to the total number of potential monitoring points in the potential monitoring parameter as the monitoring coverage. For a description of the preset risk threshold, see Figure 2 and the related description.

[0093] Step 320, determine whether the monitoring coverage meets the monitoring condition.

[0094] The monitoring condition refers to a condition for determining whether a new potential monitoring point needs to be added. In some embodiments, the monitoring condition can include that the monitoring coverage is not less than the coverage threshold. The coverage threshold is determined based on prior experience.

[0095] In some embodiments, the coverage threshold can also be positively correlated with the average value of the stray current risk of the plurality of potential monitoring points in the potential monitoring area. It can be understood that the greater the average value of the stray current risk of the plurality of potential monitoring points, the higher the instability of the potential monitoring area, and increasing the coverage threshold can reduce the condition for adding a new potential monitoring point, thereby determining more potential monitoring points to achieve more comprehensive potential monitoring.

[0096] In some embodiments, the gas company management platform determines whether the monitoring coverage meets the monitoring condition, and in response to the monitoring coverage meeting the monitoring condition, proceeds to step 331, and in response to the monitoring coverage not meeting the monitoring condition, proceeds to step 332.

[0097] Step 331, use the potential monitoring parameter.

[0098] In some embodiments, in response to the monitoring coverage meeting the monitoring condition, the gas company management platform can use Figure 2 the potential monitoring parameter determined in step 230, and further execute step 240.

[0099] Step 332, determine the new monitoring point and the potential monitoring method of the new monitoring point based on the stray current risk and the potential monitoring parameter, and obtain the updated monitoring parameter, and send the updated monitoring parameter to the smart gas government safety supervision and management platform.

[0100] The updated monitoring parameter refers to the re-determined potential monitoring parameter. In some embodiments, the gas company management platform combines the new monitoring point and the potential monitoring method of the new monitoring point with the potential monitoring parameter to form the updated monitoring parameter.

[0101] In some embodiments, the gas company management platform determines the new monitoring point and the potential monitoring manner of the new monitoring point in multiple ways based on the stray current risk and the potential monitoring parameter. For example, the gas company management platform determines one or more monitoring points in the potential monitoring area as the new monitoring point when the stray current risk exceeds a second preset risk threshold and the one or more monitoring points are not included in the potential monitoring parameter. The second preset risk threshold is set based on historical experience. The second preset risk threshold is less than the first preset risk threshold.

[0102] In some embodiments, the gas company management platform determines the potential monitoring manner of the new monitoring point based on the stray current risk of the new monitoring point. For details, refer to the related description of step 230. Figure 2

[0103] In some embodiments, the gas company management platform can also update the monitoring parameter based on the corrosion influence value of the potential monitoring point at the plurality of preset time points.

[0104] The corrosion influence value is used to represent the corrosion of the stray current on the potential monitoring point. In some embodiments, the corrosion influence value of the potential monitoring point at the plurality of preset time points can be represented in a sequence form, denoted as a corrosion influence value sequence.

[0105] In some embodiments, for each of the plurality of potential monitoring points, the gas company management platform determines the corrosion influence value (i.e., the corrosion influence value sequence) corresponding to the plurality of preset time points based on the potential difference of the potential monitoring point at the plurality of preset time points, and determines the drainage device distribution of the drainage protection device based on the corrosion influence value.

[0106] The preset time points include a plurality of time points, each of which refers to a time point in a different preset period. The preset time points are set based on historical experience, and each of the preset time points is arranged in chronological order. The first preset time point in the plurality of preset time points does not need to determine the corrosion influence value.

[0107] For more details about the preset period and the potential difference, refer to the related description of Figure 2

[0108] In some embodiments, when the potential monitoring point is different from the historical potential monitoring point corresponding to the preset time point, the gas company management platform can take the potential difference of the historical potential monitoring point closest to the potential monitoring point at the preset time point as the potential difference of the potential monitoring point at the preset time point.

[0109] ​​In some embodiments, the gas company management platform calculates a difference between the potential difference of two adjacent preset time points, and takes the ratio between the potential difference of the former of the two adjacent preset time points as the corrosion influence value of the latter of the two adjacent preset time points. The corrosion influence values of the potential monitoring point at the plurality of preset time points are determined by the above method.

[0110] The drainage device distribution refers to the distribution of the installation positions of the drainage protection equipment.

[0111] In some embodiments, the gas company management platform can determine the installation position of the drainage protection equipment based on the sequence of the corrosion influence values of the potential monitoring point, and generate the drainage device distribution based on the installation position. For example, the gas company management platform selects the sequence of the corrosion influence values gradually increasing as the preset time points go backward, and determines the position of the potential monitoring point corresponding to the sequence of the corrosion influence values as the installation position. For another example, the gas company management platform counts the corrosion influence value closest to the current time point in the sequence of the corrosion influence values, and if the corrosion influence value exceeds a preset influence threshold, determines the setting of the potential monitoring point corresponding to the sequence of the corrosion influence values as the installation position. The preset influence threshold can be set based on prior experience.

[0112] For the description of the drainage protection equipment, see Figure 1 and the related description.

[0113] In some embodiments of the present specification, by determining the corrosion influence values of the potential monitoring point at the plurality of preset time points, it can be effectively judged whether the influence of the stray current on the gas pipeline is increasing, so that the position of the drainage protection equipment can be reasonably set, and the drainage protection equipment can be better controlled.

[0114] In some embodiments, the gas company management platform determines the newly added monitoring point and the potential monitoring method of the newly added monitoring point based on the corrosion influence values of the potential monitoring point at the plurality of preset time points. For example, the gas company management platform can judge whether the fluctuation of the corrosion influence value of the potential monitoring point exceeds a preset fluctuation threshold. In response to the corrosion influence value exceeding the preset fluctuation threshold, the midpoint position between the potential monitoring point and the potential monitoring point adjacent to it is determined as the position of the newly added monitoring point, and the potential monitoring method of the newly added monitoring point is directly determined as the direct current potential difference method.

[0115] The fluctuation of the corrosion influence value refers to the change of the corrosion influence value. In some embodiments, the fluctuation of the corrosion influence value can be represented by the average of the difference between adjacent corrosion influence values in the sequence of the corrosion influence values. The preset fluctuation threshold can be determined based on prior experience.

[0116] In some embodiments, the preset fluctuation threshold can also be negatively correlated with the number of edges in the current protection graph. It can be understood that the greater the number of edges in the current protection graph, the more complex the connection relationship of the potential monitoring points in the potential monitoring area, and the higher the instability. Reducing the preset fluctuation threshold can more easily add potential monitoring points, thereby achieving comprehensive monitoring.

[0117] For more information about the current protection graph, see Figure 4 and related descriptions.

[0118] In some embodiments of the present specification, by considering the corrosion influence values at different preset time points, potential monitoring points can be added in positions susceptible to stray current corrosion in a timely manner, and appropriate potential monitoring methods can be set, thereby improving the accuracy of potential monitoring.

[0119] In some embodiments, the gas company management platform updates the monitoring parameters of the newly added monitoring points and the potential monitoring method of the newly added monitoring points, and sends the potential monitoring parameters to the smart gas government safety supervision management platform through the smart gas government safety supervision sensing network platform. The manager of the smart gas government safety supervision management platform confirms.

[0120] Based on the stray current risk, the monitoring coverage rate of the potential monitoring parameters is evaluated, the potential monitoring points can be added in a timely manner to avoid missing detection of points with high stray current risk, and the potential monitoring area can be more comprehensively monitored.

[0121] It should be noted that the above description of the processes 200 and 300 is only for example and illustration, and does not limit the scope of the present specification. Those skilled in the art can make various modifications and changes to the processes under the guidance of the present specification. However, these modifications and changes are still within the scope of the present specification.

[0122] In some embodiments, the gas company management platform can construct a current protection graph 430 corresponding to the potential monitoring area based on the historical potential difference 410 and the regional environment data 420; and determine the stray current risk 450 through the risk assessment model 440 based on the current protection graph 430. For more information about the historical potential difference and the stray current risk, see Figure 2 and related descriptions.

[0123] The regional environment data refers to data related to the environment of the potential monitoring area. In some embodiments, a single potential monitoring area corresponds to a set of regional environment data, and a set of regional environment data includes environmental data of multiple potential monitoring points in the potential monitoring area. The environmental data refers to data related to the environment of the potential monitoring point.

[0124] In some embodiments, the environment data includes physical space data and soil parameters. The physical space data refers to data related to the physical space around the potential monitoring point. For example, the distance between the potential monitoring point and the high-voltage line, whether there is a high-speed rail near the potential monitoring point, etc. The soil parameters refer to parameters related to the soil around the potential monitoring point, such as soil resistivity and soil temperature, etc.

[0125] In some embodiments, the gas company management platform obtains the regional environment data of the potential monitoring area through the smart gas government safety supervision management platform. The smart gas government safety supervision management platform obtains the regional environment data through artificial collection and the like.

[0126] The current protection graph refers to a graph structure representing the connection relationship between multiple potential monitoring points in the potential monitoring area. The graph structure is a data structure composed of nodes and edges, and the edges connect the nodes. The nodes and edges can have features. In some embodiments, the current protection graph is an undirected graph.

[0127] In some embodiments, the gas company management platform constructs the current protection graph corresponding to the potential monitoring area based on the historical potential difference and the regional environment data. The nodes of the current protection graph include each potential monitoring point (such as node 431, etc.) in the potential monitoring area, and the node features include the historical potential difference and the environment data of the potential monitoring point.

[0128] The edges of the current protection graph can represent the connection between the nodes. In some embodiments, the gas company management platform can determine the edge of the current protection graph based on the connection relationship between two nodes. For example, if two nodes are located on a gas pipeline, there is an edge (such as edge 432, etc.) between the two nodes. For another example, if two nodes are located on different gas pipelines, there is no edge between the two nodes. The edge features include the pipeline data of the gas pipeline where the node is located. For the description of the pipeline data, see Figure 2 and the related description. Through the above-mentioned manner, the gas company management platform respectively constructs the current protection graph corresponding to different potential monitoring areas based on the historical potential difference and the regional environment data of different potential monitoring areas, and determines the stray current risk corresponding to different potential monitoring areas through the risk assessment model based on the current protection graph.

[0129] In some embodiments, the node features further include the distance between the node and the auxiliary facility in the gas pipeline and the historical current data corresponding to the auxiliary facility. For the description of the auxiliary facility, see Figure 1 and the related description.

[0130] The distance between the node and the auxiliary facility in the gas pipeline can be represented by the average distance between the potential monitoring point corresponding to the node and the auxiliary facilities within a preset distance range. The preset distance range can be pre-set based on prior experience. In some embodiments, the gas company management platform can calculate the distance between the potential monitoring point and the auxiliary facility based on the location of the potential monitoring point and the location of the auxiliary facility.

[0131] The historical current data refers to data related to the stray current generated by the auxiliary facility at a historical time. In some embodiments, the historical current data includes the current size and generation frequency of the stray current generated by the auxiliary facility at the historical time. In some embodiments, the historical current data can be measured by a person using a current measuring instrument (such as an ammeter, etc.) and uploaded to the data center.

[0132] The operation of the auxiliary facility in the gas pipeline can generate stray currents of different degrees. By considering the influence of the auxiliary facility in the gas pipeline on the stray current at the current monitoring point, the accuracy of predicting the stray current risk can be improved.

[0133] The risk assessment model is a model for determining the stray current risk. In some embodiments, the risk assessment model can be a machine learning model. For example, the risk assessment model can include any one or combination of a graph neural network (GNN) or other custom model structure, etc.

[0134] In some embodiments, the input of the risk assessment model includes the current protection graph, and the output includes the stray current risk of each node in the current protection graph.

[0135] In some embodiments, the gas company management platform can train the risk assessment model based on a large number of labeled training samples through gradient descent, etc. The training sample includes a sample current protection graph, and the label of the training sample includes whether each sample potential monitoring point in the sample current protection graph actually generates a stray current.

[0136] In some embodiments, the gas company management platform determines the training sample and the label based on historical data. For example, the gas company management platform constructs a sample current protection graph based on the historical potential difference of the historical potential monitoring area corresponding to the historical area environment data, and determines the label based on whether each sample potential monitoring point actually generates a stray current. Wherein, if the sample potential monitoring point actually generates a stray current, the label is 1, and if the sample potential monitoring point does not actually generate a stray current, the label is 0. Whether the sample potential monitoring point actually generates a stray current is determined by the historical stray current distribution. For more information about the historical stray current distribution, see step 230 and related descriptions.

[0137] In some embodiments, the risk assessment model can be trained by inputting a plurality of training samples with training labels into an initial risk assessment model, constructing a loss function based on the training labels and the prediction results of the initial risk assessment model, updating the initial risk assessment model based on the iteration of the loss function, and completing the training of the risk assessment model when the loss function of the initial risk assessment model meets a preset condition. The preset condition can be that the loss function converges, the number of iterations reaches a set value, etc.

[0138] By constructing the current protection map, various data of a large number of potential monitoring points can be organized in an orderly manner. Meanwhile, the risk assessment model is used to predict the stray current risk of the potential monitoring points, so that the topological structure and relationship information in the current protection map can be better captured, and the accuracy of predicting the stray current risk can be improved.

[0139] Some embodiments of the present specification also provide a computer-readable storage medium, which stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the Internet of Things-based smart gas pipeline network stray current protection method described in any one of the above embodiments.

[0140] In addition, some features, structures or characteristics in one or more embodiments of the present specification can be appropriately combined.

[0141] Some embodiments use numbers to describe components, attributes, and the like. It should be understood that such numbers used in the description of embodiments are, in some examples, modified by the words "about," "approximately," or "generally." Unless otherwise stated, "about," "approximately," or "generally" indicates that the described number allows for a variation of ±20%. Accordingly, in some embodiments, numerical parameters in the specification and claims are approximations, and can vary depending on the desired characteristics of the individual embodiments. In some embodiments, numerical parameters should be considered in the context of the number of significant digits and errors inherent to measurement. Although some numerical ranges and parameters in the present specification are approximations, in specific embodiments, these numerical values are set to be as precise as possible.

[0142] If the description, definitions, and / or the use of terms in the cited materials are inconsistent or conflict with the description, definitions, and / or the use of terms in the present specification, the description, definitions, and / or the use of terms in the present specification shall prevail.

Claims

1. An Internet of Things-based intelligent gas pipeline network stray current protection system, characterized in that, The system comprises a smart gas government safety supervision management platform, a smart gas government safety supervision sensing network platform, a smart gas government safety supervision object platform, a gas company sensing network platform and a smart gas equipment object platform connected in communication; the smart gas government safety supervision object platform comprises a gas company management platform; The gas company management platform comprises a data center, and is configured to: Every preset period, based on pipeline data of a target gas pipeline, determine a potential monitoring area of the target gas pipeline, the potential monitoring area comprising a plurality of potential monitoring points; Through the data center, obtain historical maintenance data of the potential monitoring area; Based on the historical maintenance data, determine potential monitoring parameters of the potential monitoring area, the historical maintenance data comprising a historical potential difference, and the potential monitoring parameters comprising a monitoring point distribution of to-be-started potential monitoring points and a potential monitoring mode of the to-be-started potential monitoring points; Based on the potential monitoring parameters, through the smart gas equipment object platform, obtain a potential difference distribution in the potential monitoring area; Based on the potential difference distribution, determine a drainage parameter of a drainage protection device in the potential monitoring area, and generate a drainage instruction and send it to the smart gas equipment object platform to control the drainage protection device to drain; The gas company management platform is further configured to: Based on the historical potential difference, determine a stray current risk of the plurality of potential monitoring points; Based on the stray current risk and the potential monitoring parameters, determine a monitoring coverage rate of the potential monitoring parameters; In response to the monitoring coverage rate meeting a monitoring condition, use the potential monitoring parameters determined based on the historical maintenance data; In response to the monitoring coverage rate not meeting the monitoring condition, based on the stray current risk and the potential monitoring parameters, determine an added monitoring point and a potential monitoring mode of the added monitoring point to obtain updated monitoring parameters, and send the updated monitoring parameters to the smart gas government safety supervision management platform; The gas company management platform is further configured to: Based on the stray current risk, determine the monitoring point distribution, the potential monitoring mode and a monitoring frequency of monitoring devices corresponding to the plurality of potential monitoring points.

2. The system of claim 1, wherein, The gas company management platform is further configured to: Based on the historical potential difference and regional environment data, construct a current protection map corresponding to the potential monitoring area; Based on the current protection map, determine the stray current risk through a risk assessment model, the risk assessment model being a machine learning model.

3. The system of claim 1, wherein, The gas company management platform is further configured to: Based on potential differences of the plurality of potential monitoring points at a plurality of preset time points, determine corrosion influence values corresponding to the plurality of preset time points; Based on the corrosion influence values, determine a drainage device distribution of the drainage protection device.

4. The system of claim 3, wherein, The gas company management platform is further configured to: Based on the corrosion influence values, determine an added monitoring point and a potential monitoring mode of the added monitoring point to obtain updated monitoring parameters.

5. A method for protecting a smart gas pipeline network from stray current based on Internet of Things, characterized in that, The method is executed by a gas company management platform in the Internet of Things-based smart gas pipeline network stray current protection system of claim 1, and the method comprises: Every other preset period, based on pipeline data of a target gas pipeline, determine a potential monitoring area of the target gas pipeline, the potential monitoring area including a plurality of potential monitoring points; Through the data center, obtain historical maintenance data of the potential monitoring area; Based on the historical maintenance data, determine potential monitoring parameters of the potential monitoring area, the historical maintenance data including a historical potential difference, and the potential monitoring parameters including a monitoring point distribution of to-be-started potential monitoring points and a potential monitoring mode of the to-be-started potential monitoring points; Based on the potential monitoring parameters, through a smart gas equipment object platform, obtain a potential difference distribution in the potential monitoring area; Based on the potential difference distribution, determine a drainage parameter of a drainage protection device in the potential monitoring area, and generate a drainage instruction and send it to the smart gas equipment object platform to control the drainage protection device to drain; The method further comprises: Based on the historical potential difference, determine a stray current risk of the plurality of potential monitoring points; Based on the stray current risk and the potential monitoring parameters, determine a monitoring coverage rate of the potential monitoring parameters; In response to the monitoring coverage rate meeting a monitoring condition, use the potential monitoring parameters determined based on the historical maintenance data; In response to the monitoring coverage rate not meeting the monitoring condition, based on the stray current risk and the potential monitoring parameters, determine an added monitoring point and a potential monitoring mode of the added monitoring point and obtain updated monitoring parameters, and send the updated monitoring parameters to the smart gas government safety supervision and management platform; The method further comprises: Based on the stray current risk, determine the monitoring point distribution, the potential monitoring mode, and a monitoring frequency of monitoring devices corresponding to the plurality of potential monitoring points.

6. The method of claim 5, wherein, The determination of the stray current risk of the plurality of potential monitoring points based on the historical potential difference comprises: Based on the historical potential difference and regional environment data, construct a current protection map corresponding to the potential monitoring area; Based on the current protection map, determine the stray current risk through a risk assessment model, the risk assessment model being a machine learning model.

7. The method of claim 5, wherein, The method further comprises: Based on potential differences of the plurality of potential monitoring points at a plurality of preset time points, determine corrosion influence values corresponding to the plurality of preset time points; Based on the corrosion influence values, determine a drainage device distribution of the drainage protection device.

8. The method of claim 7, wherein, The method further comprises: Based on the corrosion influence values, determine an added monitoring point and a potential monitoring mode of the added monitoring point and obtain updated monitoring parameters.

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