An early warning method and system based on natural gas leakage detection

Abstract

The present invention provides an early warning method and system based on natural gas leakage detection, which relates to the field of digital processing technology. The method includes: obtaining information of a target detection area, performing pipeline identification and setting metering detection points; obtaining real-time pipeline opening and closing data; generating an initial pipeline metering correlation value, performing correlation adjustment to generate a real-time pipeline metering correlation value; arranging flow metering devices based on the metering detection points, generating a flow data acquisition set, performing time sequence identification, comparing flow errors in combination with the real-time pipeline metering correlation value to generate a segmented flow error comparison result, and performing pipeline segmented leakage early warning. It solves the technical problem that the detection range and detection accuracy of natural gas leakage are limited, resulting in low accuracy of the corresponding early warning information, and achieves the technical effects of performing segmented leakage detection, optimizing the natural gas leakage detection range, evaluating leakage through natural gas flow, improving detection accuracy, performing segmented leakage early warning, and ensuring the accuracy of early warning information.

Description

Technical Field

[0001] The present invention relates to the field of digital processing technologies, and in particular, to an early warning method and system for natural gas leakage detection. Background Art

[0002] As a clean energy source, natural gas has sufficient reserves. The main components of natural gas are alkanes, and its main use is as fuel. Replacing traditional fuels with natural gas helps reduce the formation of acid rain and mitigate the Earth's greenhouse effect.

[0003] In a closed environment, natural gas leakage can cause people to suffocate to death. Natural gas leakage may also trigger dangerous accidents such as explosions. Natural gas is a colorless, odorless, and non-toxic gas, and it is impossible for humans to detect natural gas leakage in time. By connecting a gas detector (the working principle of the gas detector is limited, and it can only detect the existence of natural gas leakage problem after natural gas leakage has continued for a certain period of time), natural gas leakage detection is carried out. However, the leakage detection range and detection accuracy of the gas detector are limited, and the detection results cannot be directly applied to the maintenance stage of natural gas leakage.

[0004] In the prior art, there are technical problems that the natural gas leakage detection range and detection accuracy are limited, resulting in low accuracy of the corresponding early warning information for detection. Summary of the Invention

[0005] The present application provides an early warning method and system for natural gas leakage detection, which solves the technical problems that the natural gas leakage detection range and detection accuracy are limited, resulting in low accuracy of the corresponding early warning information for detection, and achieves the technical effects of segmenting the leakage detection, optimizing the natural gas leakage detection range, evaluating the leakage through the natural gas flow rate, improving the detection accuracy, segmenting the leakage early warning, and ensuring the accuracy of the early warning information.

[0006] In view of the above problems, the present application provides an early warning method and system for natural gas leakage detection.

[0007] In the first aspect of the present application, a warning method based on natural gas leakage detection is provided. Among them, the method is applied to an intelligent detection system, and the intelligent detection system is communicatively connected to a flow metering device. The method includes: obtaining information on a target detection area, performing pipeline identification based on the information on the target detection area, and setting metering detection points; obtaining real-time pipeline opening and closing data within the target detection area; generating an initial pipeline metering correlation value based on the pipeline identification result, and performing correlation adjustment on the initial pipeline metering correlation value through the real-time pipeline opening and closing data to generate a real-time pipeline metering correlation value; arranging the flow metering device based on the metering detection points, and collecting pipeline natural gas flow data through the arranged flow metering device to generate a flow data collection set; performing time series identification on the flow data collection set, and comparing the flow error through the flow data collection set with time series identification and the real-time pipeline metering correlation value to generate a segmented flow error comparison result; and performing pipeline segmented leakage warning within the target detection area through the segmented flow error comparison result.

[0008] In the second aspect of the present application, a warning system based on natural gas leakage detection is provided. Among them, the system includes: a pipeline identification unit for obtaining information on a target detection area, performing pipeline identification based on the information on the target detection area, and setting metering detection points; an opening and closing data acquisition unit for obtaining real-time pipeline opening and closing data within the target detection area; a correlation adjustment unit for generating an initial pipeline metering correlation value based on the pipeline identification result, and performing correlation adjustment on the initial pipeline metering correlation value through the real-time pipeline opening and closing data to generate a real-time pipeline metering correlation value; a data acquisition unit for arranging a flow metering device based on the metering detection points, and collecting pipeline natural gas flow data through the arranged flow metering device to generate a flow data collection set; an error comparison unit for performing time series identification on the flow data collection set, and comparing the flow error through the flow data collection set with time series identification and the real-time pipeline metering correlation value to generate a segmented flow error comparison result; and a segmented leakage warning unit for performing pipeline segmented leakage warning within the target detection area through the segmented flow error comparison result.

[0009] One or more technical solutions provided in the present application have at least the following technical effects or advantages:

[0010] By obtaining information on the target detection area, identifying pipeline markings and setting metering detection points; obtaining real-time pipeline opening and closing data; generating an initial pipeline metering correlation value, performing correlation adjustment to generate a real-time pipeline metering correlation value; arranging the flow metering device based on the metering detection points, collecting pipeline natural gas flow data to generate a flow data collection set, performing time series identification, and comparing the flow error through the flow data collection set with time series identification and the real-time pipeline metering correlation value to generate a segmented flow error comparison result, and performing pipeline segmented leakage warning within the target detection area. The present application achieves the technical effects of performing segmented leakage detection, optimizing the natural gas leakage detection range, performing leakage assessment through natural gas flow, improving detection accuracy, performing segmented leakage warning, and ensuring the accuracy of warning information. Description of the Drawings

[0011] Figure 1 It is a flowchart of a warning method based on natural gas leakage detection according to the present application;

[0012] Figure 2 It is a flowchart of the comparison and judgment of the segmented flow error comparison result and the real-time warning threshold of a warning method based on natural gas leakage detection according to the present application;

[0013] Figure 3 It is a flowchart of pipeline segmented leakage warning of a warning method based on natural gas leakage detection according to the present application;

[0014] Figure 4 It is a structural schematic diagram of a warning system based on natural gas leakage detection according to the present application.

[0015] Description of the reference numerals: Pipeline identification unit 11, opening and closing data acquisition unit 12, correlation adjustment unit 13, data acquisition unit 14, error comparison unit 15, segmented leakage warning unit 16. Detailed Embodiments

[0016] The present application provides a warning method and system based on natural gas leakage detection, which solves the technical problem that the natural gas leakage detection range and detection accuracy are limited, resulting in low accuracy of the corresponding warning information, and achieves the technical effects of performing segmented leakage detection, optimizing the natural gas leakage detection range, performing leakage assessment through natural gas flow, improving detection accuracy, performing segmented leakage warning, and ensuring the accuracy of warning information.

[0017] Embodiment 1

[0018] As Figure 1 shown, the present application provides a warning method based on natural gas leakage detection, wherein the method is applied to an intelligent detection system, the intelligent detection system is communicatively connected to a flow metering device, and the method includes:

[0019] Step S100: Obtain information on the target detection area, perform pipeline identification based on the information on the target detection area, and set metering detection points;

[0020] Step S200: Obtain real-time pipeline opening and closing data within the target detection area;

[0021] Step S300: Generate an initial pipeline metering correlation value based on the pipeline identification result, and perform correlation adjustment on the initial pipeline metering correlation value through the real-time pipeline opening and closing data to generate a real-time pipeline metering correlation value;

[0022] Specifically, the main components of natural gas are alkanes. Among them, methane accounts for the vast majority, and there are also small amounts of ethane, propane, and butane. In a closed environment, leakage of natural gas can cause people to suffocate to death, and leakage of natural gas may also trigger dangerous accidents such as explosions. Generally, a gas detector is connected to a gas pipeline to give an early warning of natural gas leakage. However, the detection range of a single gas detector is limited and the detection efficiency is low.

[0023] Specifically, the target detection area is the location area where natural gas is used. The target detection area is a closed space environment. Commonly, the target detection area can be related natural gas use and processing areas such as gas power plants, non-ferrous metal smelters (heating furnaces), textile printing and dyeing factories (gas steam boilers), etc. The information on the target detection area includes relevant index parameter information such as pipeline interface position information, pipeline size parameter information, and pipeline layout information. The information on the target detection area can be obtained through the natural gas installation project record information of the target detection area. The information acquisition method of the target detection area is not unique. Through the information on the target detection area, pipeline marking is carried out in the target detection area. In particular, the pipeline layout information and the pipeline size parameter information need to be marked as a whole (the whole marking is a uniform marking), and the pipeline interface position information needs to be marked locally (the local marking is a key marking, and the distribution density is greater than the distribution density of the uniform marking corresponding to the whole marking). After the pipeline marking is completed, metering detection points are set. The metering detection points are metering detection points for natural gas flow. It is necessary to analyze the pipeline layout information and the pipeline size parameter information to set metering detection points. A simple example is used to illustrate. The pipeline layout information shows that the first pipeline is divided into a second pipeline and a third pipeline through a shunt interface device at the first position. The sum of the metering detection output amounts of the second pipeline and the third pipeline is equal to the metering detection output amount of the first pipeline. Without considering the influence of other variable parameters, there is a direct proportion between the pipeline size parameter information and the gas pipeline flow. Through the pipeline layout information (which can be the shunt or parallel flow convergence position) or the pipeline size parameter information (the position point where the pipeline size changes), metering detection points are set to provide support for subsequent real-time monitoring and analysis.

[0024] Specifically, the real-time pipeline opening and closing data are the natural gas valve opening data and the natural gas valve closing data in the target detection area. The image acquisition device can be used to collect the image information in the target detection area in real time. Through the image information, the included angle between the natural gas pipeline and the natural gas valve can be analyzed and determined. Combining with the usage instructions of the natural gas valve, the state of the natural gas valve (valve opening state, valve closing state. Specifically, the semi-open state of the included angle between the natural gas pipeline and the natural gas valve is not considered. The valve opening state is the fully open state, and the valve closing state is the fully closed state) is analyzed and evaluated. After the states of all natural gas valves are evaluated, information is sorted out to obtain the natural gas valve opening data (the number of natural gas valves in the valve opening state) and the natural gas valve closing data (the number of natural gas valves in the valve closing state). The real-time pipeline opening and closing data in the target detection area are determined through the natural gas valve opening data and the natural gas valve closing data in the target detection area, providing data support for subsequent data analysis.

[0025] Specifically, after the pipeline marking is completed, the overall marking result and the local marking result are merged (the marking signals of the overall marking and the local marking are different, and the marking merge does not affect the marking distinction) to obtain the pipeline identification result. Based on the overall marking result in the pipeline identification result, an initial pipeline measurement correlation value is generated. The initial pipeline measurement correlation value is the correlation value determined by the pipeline connection relationship. Combining with the above example for further explanation, the sum of the measurement detection output amounts of the second pipeline and the third pipeline is equal to the measurement detection output amount of the first pipeline. When the usage amounts of the natural gas using devices connected to the second pipeline and the third pipeline are equal and the pipeline size parameter information of the second pipeline and the third pipeline is the same, without considering the influence of other variable parameters, the initial pipeline measurement value of the second pipeline is equal to the initial pipeline measurement value of the third pipeline. The pipeline measurement correlation between the initial pipeline measurement value of the second pipeline, the initial pipeline measurement value of the third pipeline and the initial pipeline measurement value of the first pipeline is the initial pipeline measurement correlation value, that is, the correlation value determined by the pipeline connection relationship. From a physical perspective, the initial pipeline measurement correlation value is generated to provide a data basis for data analysis.

[0026] Specifically, based on the natural gas pipeline drawings in the natural gas installation project record information of the target detection area, through the initial pipeline measurement correlation value, information correlation binding is performed on the corresponding natural gas pipeline drawings (binding is performed through the pipeline layout information corresponding to the initial pipeline measurement correlation value and the pipeline layout information of the natural gas pipeline drawings). After the information correlation binding is completed, the information correlation binding result is correlated and adjusted through the pipeline identification result to generate a real-time pipeline measurement correlation value. The real-time pipeline measurement correlation value is the correlation value determined by the pipeline connection relationship and the current actual valve state. Combining the above example for further explanation, the first pipeline is divided into the second pipeline and the third pipeline through a shunt interface device at the first position. Without considering the influence of other parameters, through the real-time pipeline opening and closing data, it is determined that the third pipeline is in the valve closed state, and the first pipeline and the third pipeline are in the valve open state. Correspondingly, the real-time pipeline measurement of the second pipeline is equal to the real-time pipeline measurement of the first pipeline. The pipeline measurement correlation between the real-time pipeline measurement of the second pipeline and the real-time pipeline measurement of the first pipeline is the initial real-time pipeline measurement correlation value. Through real-time monitoring and timely data update, support is provided to ensure the immediacy of the natural gas leakage warning signal.

[0027] The real-time pipeline measurement correlation value is the data obtained through analysis without considering natural gas leakage (without considering whether the natural gas used by the natural gas using device reaches complete combustion or the actual natural gas consumption of the natural gas using device, and only analyzing from the perspective of natural gas flow rate), and determining the real-time pipeline measurement correlation value provides data support for subsequent comparison and analysis to obtain leakage warning signals.

[0028] Step S400: Based on the metering detection points, arrange the flow metering devices, and collect pipeline natural gas flow data through the arranged flow metering devices to generate a flow data collection set;

[0029] Step S500: Perform time sequence identification on the flow data collection set, and compare the flow errors through the flow data collection set with time sequence identification and the real-time pipeline measurement correlation value to generate a segmented flow error comparison result;

[0030] Step S600: Perform pipeline segment leakage warning within the target detection area through the segmented flow error comparison result.

[0031] Specifically, the flow metering device may be a related gas flow real-time monitoring device such as a gas flowmeter. A plurality of flow metering devices are arranged at the metering detection points. After the flow metering devices are all arranged at the metering detection points, the pipeline natural gas flow data in the target detection area is collected on-site through the arranged flow metering devices, and a flow data collection set is obtained. The flow data collection set includes a plurality of flow data collection subsets. The elements in the flow data collection subsets are the metering detection points corresponding to the flow metering devices output by the flow metering devices. The time sequence identifiers corresponding to the plurality of flow data collection subsets are the collection times of the flow metering devices. The flow data collection set is time-sequence identified. The flow data collection set is the data obtained by analysis in actual situations. The flow data collection set is determined to provide data support for subsequent comparison and analysis to obtain leakage warning signals.

[0032] Specifically, through the flow data collection set with time sequence identifier and the real-time pipeline metering correlation value, flow error comparison is carried out correspondingly. If the flow data collection set with time sequence identifier and the real-time pipeline metering correlation value are compared and are consistent, it means that there is no natural gas leakage; flow error comparison is carried out correspondingly. If the flow data collection set with time sequence identifier and the real-time pipeline metering correlation value are not compared and are inconsistent (generally, the flow data part corresponding to the real-time pipeline metering correlation value is greater than the flow data corresponding to the flow data collection set with time sequence identifier), it means that there is natural gas leakage, and a segmented flow error comparison result is generated. In the case that the flow data part corresponding to the real-time pipeline metering correlation value is greater than the flow data corresponding to the flow data collection set with time sequence identifier, the segmented flow error comparison result is the natural gas pipeline section corresponding to the part greater than the defined flow data difference and the flow data difference. In the target detection area, through the segmented flow error comparison result and the leakage alarm device (the leakage alarm device may be an audible and visual alarm), pipeline segmented leakage warning is carried out on the natural gas pipeline section corresponding to the flow data difference, which improves the immediacy of natural gas leakage warning and provides technical support for avoiding dangerous accidents such as explosion caused by natural gas leakage. Particularly, for relevant natural gas use and processing areas such as gas power plants, non-ferrous metal smelters (heating furnaces), and textile printing and dyeing factories (gas steam boilers), the losses caused by natural gas leakage are difficult to estimate. Through the intelligent detection system, natural gas leakage warning can be carried out to ensure the safe use of natural gas and eliminate the losses caused by natural gas leakage.

[0033] Furthermore, the embodiments of the present application further include:

[0034] Step S510: Set a safe time interval for valve opening and closing;

[0035] Step S520: Based on the valve opening and closing safety time interval, perform data elimination on the flow data acquisition set to generate an optimized flow data acquisition set;

[0036] Step S530: Perform a flow error comparison through the optimized flow data acquisition set.

[0037] Specifically, through multiple flow data acquisition subsets in the flow data acquisition set, statistically analyze the flow fluctuation data at both ends of the valve at the same position (during the valve opening and closing process). Statistically analyze the time from the valve opening and closing moment to the moment when the flow fluctuation data at both ends of the valve stabilizes, and obtain the valve opening and closing safety time period. After all valves are statistically analyzed, obtain the valve opening and closing safety time interval, where the interval includes the valve opening and closing safety time periods of multiple natural gas valves. Based on the valve opening and closing safety time interval and the time sequence identifiers corresponding to the multiple flow data acquisition subsets, perform data elimination on the flow data acquisition set. From the flow data acquisition set, eliminate the flow data acquisition subsets corresponding to the valve opening and closing safety time interval. After the data elimination of the flow data acquisition set is completed, an optimized flow data acquisition set is generated. Perform a flow error comparison between the optimized flow data acquisition set and the real-time pipeline measurement correlation value. By performing data elimination, exclude the flow fluctuation data during the valve opening and closing state change process to ensure the effectiveness of the flow error comparison.

[0038] Further, as Figure 2 shown, the embodiments of the present application further include:

[0039] Step S610: Construct an initial unit distance warning value based on big data;

[0040] Step S620: Obtain distribution distance data through the measurement and detection point, and generate a real-time warning threshold for the detection section through the real-time pipeline measurement correlation value, the distribution distance data, and the initial unit distance warning value;

[0041] Step S630: Determine whether the segmented flow error comparison result meets the real-time warning threshold of the corresponding detection section;

[0042] Step S640: When there is a warning section that does not meet the real-time warning threshold, perform a leakage warning on the warning section.

[0043] Specifically, through big data, data retrieval is performed on the natural gas leakage detection and early warning phenomenon to obtain a set of warning values per unit distance. The set of warning values per unit distance is the distance between the natural gas leakage point in the natural gas leakage detection and early warning phenomenon and the gas detector that generates detection and early warning for the natural gas leakage point. The average of the set of warning values per unit distance is taken to obtain the initial warning value per unit distance. Based on the distribution of the measurement and detection points, the distribution distance is calculated to obtain distribution distance data. The distribution distance data is the three-dimensional space distance data between the measurement and detection points. Through the real-time pipeline measurement correlation value and the distribution distance data, the initial warning value per unit distance is shrunk and limited (shrinking and limiting means adjusting the weight of the initial warning value per unit distance through the real-time pipeline measurement correlation value and the distribution distance data) to obtain a shrunk and limited output. The shrunk and limited output is the real-time warning threshold of the detection section. The segmented flow error comparison result is compared with the real-time warning threshold for judgment, and leakage warning is performed on the warning section. The results obtained from the detection are directly applied to the natural gas leakage warning to ensure the accuracy of the leakage warning.

[0044] Further specifically, through the analytic hierarchy process, a hierarchical structure of the system of the real-time pipeline measurement correlation value and the distribution distance data is constructed to generate a judgment matrix, and the weights corresponding to the hierarchical levels of the real-time pipeline measurement correlation value and the distribution distance data are calculated to obtain the real-time pipeline measurement correlation weight index and the distribution distance weight index. Through the real-time pipeline measurement correlation weight index and the distribution distance weight index, the weight of the initial warning value per unit distance is adjusted.

[0045] Further specifically, the distance distribution of the measurement and detection points is uneven. Correspondingly, the initial warning value per unit distance needs to be adjusted accordingly. Briefly described with the above example, the first pipeline is divided into the second pipeline and the third pipeline through a shunt interface device at the first position. When the second and third pipelines are in the valve open state, correspondingly, the real-time warning threshold should be the sum of the lengths of the second and third pipelines. It is necessary to shrink and limit the distribution distance of the flow measurement device to ensure the accuracy of the leakage warning.

[0046] Furthermore, the embodiment of the present application further includes:

[0047] Step S651: Determine whether the warning section includes a separated section of pipeline;

[0048] Step S652: When the warning section includes a separated section of pipeline, generate a separate opening and closing verification instruction for the separated section of pipeline;

[0049] Step S653: Based on the separate opening and closing verification instruction, perform separate opening and closing verification control on the separated section of pipeline;

[0050] Step S654: Collect real-time verification data during the separate opening and closing verification control process through the flow metering device to obtain a verification data set;

[0051] Step S655: Evaluate the leakage of the separation section pipeline through the verification data set, and give a warning label to the separation section pipeline based on the leakage evaluation result.

[0052] Specifically, the separation section pipeline can be a newly added pipeline (or a natural gas pipeline corresponding to different natural gas delivery inlets in the area of pipeline section leakage warning). Determine whether the pipeline section leakage warning includes the separation section pipeline; if it does, generate a separate opening and closing verification instruction for the separation section pipeline (separately conduct leakage verification); after obtaining the pipeline section leakage warning, through the separate opening and closing verification instruction, conduct separate leakage verification for the separation section pipeline (if the separation section pipeline has multiple sections, it needs to be judged section by section. After the separate leakage verification of the first separation section pipeline is completed, conduct the separate leakage verification of the second separation section pipeline), control the valves of the separation section pipeline to open and close (starting from the valve closest to the natural gas delivery inlet, and controlling them to open and close one by one in sequence). During the separate opening and closing verification control process, synchronously collect data through the flow metering device to obtain a verification data set (similarly, during the valve opening and closing process, data is excluded, and after excluding the flow fluctuation data during the valve opening and closing state change process, the verification data set is determined); the leakage evaluation result is the flow fluctuation data that appears in the verification data set. Through the verification data set, determine whether there is a natural gas leakage phenomenon in the separation section pipeline. If there is, give a warning label to the separation section pipeline and conduct overall natural gas leakage monitoring in the target detection area to ensure the accuracy of the pipeline section leakage warning.

[0053] Furthermore, the embodiments of the present application further include:

[0054] Step S661: When there is the warning section, generate warning level information for the warning section according to the sectional flow error comparison result and the real-time warning threshold;

[0055] Step S662: Judge whether the warning level information meets the closing control threshold;

[0056] Step S663: When the warning level information meets the closing control threshold, control the gas supply valve of the warning section to close, and give a pipeline leakage warning reminder based on the warning level information.

[0057] Specifically, when there is the warning section, it is necessary to give a graded reminder for the leakage warning. On the one hand, through the graded reminder, it is linked with the natural gas self-priming valve to realize the automatic closing of the gas supply valve and ensure the safe use of natural gas.

[0058] Specifically, when there is such a warning section (the sectional flow error comparison result does not meet the real-time warning threshold of the corresponding detection section), in the historical data of the intelligent detection system, obtain the historical sectional flow error comparison result and the corresponding historical warning threshold. Take the historical sectional flow error comparison result as the first-level evaluation factor and the historical warning threshold as the second-level evaluation factor. Perform level division through the TOPSIS method (Technique for Order Preference by Similarity to ideal Sulution), and generate the warning level information of the warning section; set a warning preset level standard (the warning preset level standard is a preset parameter index), and compare the warning preset level standard with the warning level information to determine whether the warning level information meets the closing control threshold in the warning preset level standard. The closing control threshold is a level threshold in the warning preset level standard. In the warning preset level standard, the level greater than the closing control threshold corresponds to meeting the closing control threshold. When the warning level information meets the closing control threshold, perform linkage on the natural gas self-priming valve to control the closing of the gas supply valve of the warning section, and perform leakage warning reminder of the pipeline based on the warning level information to avoid continuous natural gas leakage.

[0059] Specifically, use the cosine method to find the optimal matching feature and the most matching feature between the historical sectional flow error comparison result and the historical warning threshold, and then calculate the distances between the sectional flow error comparison result and the real-time warning threshold and the optimal matching feature and the most matching feature respectively, obtain the relative closeness between the sectional flow error comparison result and the real-time warning threshold and the optimal matching feature, and use this as the basis for evaluating advantages and disadvantages to generate the warning level information of the warning section.

[0060] Furthermore, as Figure 3 shown, the intelligent detection system is communicatively connected to an infrared thermal imaging detection device. The embodiments of the present application further include:

[0061] Step S664-1: When the warning level information does not meet the closing control threshold, generate a detection and positioning instruction;

[0062] Step S664-2: Control the infrared thermal imaging detection device to perform image acquisition of the warning section through the detection and positioning instruction to generate a detection image;

[0063] Step S664-3: Perform image feature recognition based on the detection image, and perform warning point positioning and marking based on the image feature recognition result;

[0064] Step S664-4: Perform sectional pipeline leakage warning through the warning point positioning and marking result.

[0065] Specifically, when there is the warning section, it is necessary to give graded reminders for leakage warnings. On the other hand, through the infrared thermal imaging detection device, the leakage position is accurately located and marked, further refining the accuracy of pipeline segment leakage warnings. The warning point positioning and identification results obtained from the detection can be directly applied to the natural gas leakage maintenance stage, facilitating the timely maintenance work of natural gas leakage maintenance personnel.

[0066] More specifically, when the warning level information does not meet the shutdown control threshold (there is a minor leakage and it is necessary to promptly maintain the minor leakage), a detection and positioning instruction is generated (the detection and positioning instruction is the command control signal for starting the infrared thermal imaging detection device); the infrared thermal imaging detection device is controlled to start through the detection and positioning instruction, and through the infrared thermal imaging detection device, image acquisition is performed in the warning section to obtain a detection image (the detection image is a temperature distribution characteristic image); the image features include fluid pressure features, temperature distribution features, and medium heat conduction features (corresponding to the changes in the temperature distribution features of the leakage area). Through the detection image and the image features, image feature recognition is performed (the fluid pressure features, temperature distribution features, and medium heat conduction features are all physical index parameter features), and an image feature recognition result is obtained. The image feature recognition result is the fluid pressure feature information, temperature distribution feature information, and medium heat conduction feature information corresponding to the detection image; through the warning point positioning and identification result, pipeline segment leakage warnings are carried out to ensure the accuracy of pipeline segment leakage warnings.

[0067] Furthermore, the embodiments of the present application further include

[0068] Step S710: Evaluate the pipeline flow direction data at the same time node according to the flow data acquisition set to obtain a pipeline flow direction data evaluation result;

[0069] Step S710: Locate the abnormal flow metering device based on the pipeline flow direction data evaluation result;

[0070] Step S730: Repair and maintain the abnormal flow metering device.

[0071] Specifically, for the abnormal flow distribution situation, based on the pressure difference between the inside and outside of the pipeline and the flow direction of natural gas in the pipeline, the position of the abnormal flow distribution is determined correspondingly (the abnormal flow distribution does not meet the normal state of natural gas distribution. Briefly speaking, in the same pipeline, without introducing other branches, natural gas flows from point A to point B, and flow measurement devices are installed at both point A and point B. The flow data obtained by the flow measurement device at point B is higher than the flow data obtained by the flow measurement device at point A, which is the data obtained from the abnormal detection operation of the flow measurement device). Based on the natural gas pipeline drawing, through the flow data acquisition set and the pipeline flow direction data, the elements corresponding to the flow data acquisition subset at the same time node (the time sequence identifier of the flow data acquisition subset corresponds to the time node) are compared one by one. The evaluation of the pipeline flow direction data is to evaluate whether there is an abnormal flow distribution in the flow data acquisition subset. The evaluation result of the pipeline flow direction data is the output result corresponding to the existence of an abnormal flow distribution. Based on the abnormal flow distribution corresponding to the evaluation result of the pipeline flow direction data, the abnormal flow measurement device is located. After the location is completed, the intelligent detection system is communicatively connected to the flow measurement device (the flow measurement device includes the abnormal flow measurement device). The intelligent detection system sends an abnormal operation signal to the abnormal flow measurement device, and the abnormal flow measurement device issues an abnormal operation alarm to remind relevant management personnel to carry out maintenance and repair.

[0072] In summary, the early warning method and system based on natural gas leakage detection provided by this application have the following technical effects:

[0073] By obtaining the information of the target detection area, marking the pipeline and setting the measurement detection points; obtaining the real-time pipeline opening and closing data; generating the initial pipeline measurement correlation value, performing correlation adjustment, and generating the real-time pipeline measurement correlation value; arranging the flow measurement devices based on the measurement detection points, collecting the flow data, generating the flow data acquisition set, performing time sequence identification, and comparing the flow errors through the flow data acquisition set with time sequence identification and the real-time pipeline measurement correlation value to generate the segmented flow error comparison result, and warning of pipeline segment leakage in the target detection area. This application provides an early warning method and system based on natural gas leakage detection, achieving the technical effects of segmenting the leakage detection, optimizing the natural gas leakage detection range, evaluating the leakage through the natural gas flow, improving the detection accuracy, warning of leakage segment by segment, and ensuring the accuracy of the warning information.

[0074] By constructing the initial unit distance warning value; obtaining the distribution distance data, and generating the real-time warning threshold of the detection segment through the real-time pipeline measurement correlation value, the distribution distance data and the initial unit distance warning value; when the segmented flow error comparison result does not meet the real-time warning threshold of the corresponding detection segment, warning of leakage in the warning segment, and directly applying the detected result to the natural gas leakage warning to ensure the accuracy of the leakage warning.

[0075] By adopting the collection of flow data and evaluating the pipeline flow direction data at the same time node, the evaluation result of the pipeline flow direction data is obtained, and the abnormal flow metering device is located; relevant management personnel are reminded to repair and maintain the abnormal flow metering device in time.

[0076] Embodiment 2

[0077] Based on the same inventive concept as the early warning method for natural gas leakage detection in the foregoing embodiment, as Figure 4 shown, the present application provides an early warning system for natural gas leakage detection, wherein the system includes:

[0078] A pipeline identification unit 11, which is used to obtain information on the target detection area, identify the pipeline based on the information on the target detection area, and set a metering detection point;

[0079] An opening and closing data acquisition unit 12, which is used to obtain real-time pipeline opening and closing data in the target detection area;

[0080] An association adjustment unit 13, which is used to generate an initial pipeline metering association value based on the pipeline identification result, and perform association adjustment on the initial pipeline metering association value through the real-time pipeline opening and closing data to generate a real-time pipeline metering association value;

[0081] A data acquisition unit 14, which is used to arrange a flow metering device based on the metering detection point, collect pipeline natural gas flow data through the arranged flow metering device, and generate a flow data acquisition set;

[0082] An error comparison unit 15, which is used to perform time sequence identification on the flow data acquisition set, and perform flow error comparison through the flow data acquisition set with time sequence identification and the real-time pipeline metering association value to generate a segmented flow error comparison result;

[0083] A segmented leakage warning unit 16, which is used to perform pipeline segmented leakage warning in the target detection area through the segmented flow error comparison result.

[0084] Further, the system includes:

[0085] An early warning value construction unit, which is used to construct an initial unit distance early warning value based on big data;

[0086] A threshold generation unit, which is used to obtain distribution distance data through the metering detection points, and generate a real-time warning threshold for the detection section based on the real-time pipeline metering correlation value, the distribution distance data, and the initial unit distance warning value;

[0087] A threshold comparison and judgment unit, which is used to judge whether the segmented flow error comparison result meets the real-time warning threshold of the corresponding detection section;

[0088] A judgment and leakage warning unit, which is used to perform leakage warning on the warning section when there is a warning section that does not meet the real-time warning threshold.

[0089] Furthermore, the system includes:

[0090] A separation section judgment unit, which is used to judge whether the warning section includes a separation section pipeline;

[0091] A verification instruction generation unit, which is used to generate a separate opening and closing verification instruction for the separation section pipeline when the warning section includes a separation section pipeline;

[0092] A separate opening and closing verification unit, which is used to perform separate opening and closing verification control of the separation section pipeline based on the separate opening and closing verification instruction;

[0093] A verification data acquisition unit, which is used to acquire real-time verification data during the separate opening and closing verification control process through the flow metering device to obtain a verification data set;

[0094] A leakage evaluation unit, which is used to perform leakage evaluation of the separation section pipeline through the verification data set, and perform warning identification of the separation section pipeline based on the leakage evaluation result.

[0095] Furthermore, the system includes:

[0096] A warning level generation unit, which is used to generate warning level information for the warning section based on the segmented flow error comparison result and the real-time warning threshold when there is a warning section;

[0097] A closing control threshold judgment unit, which is used to judge whether the warning level information meets the closing control threshold;

[0098] A gas supply valve closing unit, which is used to control the closing of the gas supply valve of the warning section when the warning level information meets the closing control threshold, and perform leakage warning reminder of the pipeline based on the warning level information.

[0099] Further, the system includes:

[0100] A detection and positioning instruction generation unit, which is configured to generate a detection and positioning instruction when the early warning level information does not meet the shutdown control threshold;

[0101] An image acquisition unit, which is configured to control the infrared thermal imaging detection device to acquire images in the early warning section through the detection and positioning instruction, and generate detection images;

[0102] An image feature recognition unit, which is configured to perform image feature recognition based on the detection images, and perform early warning point positioning and identification based on the image feature recognition results;

[0103] A leakage early warning unit, which is configured to perform pipeline section leakage early warning through the early warning point positioning and identification results.

[0104] Further, the system includes:

[0105] A flow direction data evaluation unit, which is configured to evaluate the pipeline flow direction data at the same time node according to the flow data acquisition set, and obtain a pipeline flow direction data evaluation result;

[0106] A metering device positioning unit, which is configured to locate and obtain an abnormal flow metering device based on the pipeline flow direction data evaluation result;

[0107] An overhaul and maintenance unit, which is configured to overhaul and maintain the abnormal flow metering device.

[0108] Further, the system includes:

[0109] A safety time setting unit, which is configured to set a safety time interval for valve opening and closing;

[0110] A data elimination unit, which is configured to eliminate data in the flow data acquisition set based on the safety time interval for valve opening and closing, and generate an optimized flow data acquisition set;

[0111] A flow error comparison unit, which is configured to perform flow error comparison through the optimized flow data acquisition set.

[0112] This specification and the drawings are merely exemplary descriptions of the present application. Without departing from the spirit and scope of the present application, various modifications and combinations can be made to it. If these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, then the present application is intended to include these changes and variations.

Claims

1. A warning method based on natural gas leakage detection, characterized in that, The method is applied to an intelligent detection system, which is communicatively connected to a flow metering device. The method includes: Obtaining information of a target detection area, identifying pipelines based on the information of the target detection area, and setting metering detection points; Obtaining real-time pipeline opening and closing data within the target detection area; Generating an initial pipeline metering correlation value based on the pipeline identification result, and performing correlation adjustment of the initial pipeline metering correlation value through the real-time pipeline opening and closing data to generate a real-time pipeline metering correlation value; Arranging the flow metering device based on the metering detection points, and collecting pipeline natural gas flow data through the arranged flow metering device to generate a flow data collection set; Performing time sequence identification on the flow data collection set, and comparing flow errors through the flow data collection set with time sequence identification and the real-time pipeline metering correlation value to generate a segmented flow error comparison result; Performing pipeline segment leakage warning within the target detection area through the segmented flow error comparison result; Constructing an initial warning value per unit distance based on big data; Obtaining distribution distance data through the metering detection points, and generating a real-time warning threshold for the detection segment through the real-time pipeline metering correlation value, the distribution distance data, and the initial warning value per unit distance; Determining whether the segmented flow error comparison result meets the real-time warning threshold of the corresponding detection segment; When there is a warning segment that does not meet the real-time warning threshold, performing leakage warning on the warning segment; Determining whether the warning segment contains a separated segment pipeline; When the warning segment contains a separated segment pipeline, generating a separate opening and closing verification instruction for the separated segment pipeline; Performing separate opening and closing verification control on the separated segment pipeline based on the separate opening and closing verification instruction; Collecting real-time verification data during the separate opening and closing verification control process through the flow metering device to obtain a verification data set; Performing leakage evaluation on the separated segment pipeline through the verification data set, and performing warning marking on the separated segment pipeline based on the leakage evaluation result.

2. The method according to claim 1, characterized in that, The method further includes: When there is a warning segment, generating warning level information for the warning segment according to the segmented flow error comparison result and the real-time warning threshold; Determining whether the warning level information meets a closing control threshold; When the warning level information meets the closing control threshold, controlling the gas supply valve of the warning segment to close, and performing leakage warning reminder for the pipeline based on the warning level information.

3. The method according to claim 2, characterized in that, The intelligent detection system is communicatively connected to an infrared thermal imaging detection device. The method further includes: When the warning level information does not meet the closing control threshold, generating a detection and positioning instruction; Controlling the infrared thermal imaging detection device to perform image acquisition on the warning segment through the detection and positioning instruction to generate a detection image; Performing image feature recognition based on the detection image, and performing warning point positioning and marking based on the image feature recognition result; Performing pipeline segment leakage warning through the warning point positioning and marking result.

4. The method according to claim 1, characterized in that, The method further includes: Evaluating pipeline flow direction data at the same time node according to the flow data collection set to obtain a pipeline flow direction data evaluation result; Based on the pipeline flow direction data evaluation result, an abnormal flow metering device is located; The abnormal flow metering device is inspected and maintained.

5. The method according to claim 1, characterized in that, The method further comprises: Set the safe time interval for valve opening and closing; Eliminate data from the flow data collection set based on the valve opening and closing safety time interval to generate an optimized flow data collection set; The flow error comparison is performed through the optimized flow data collection set.

6. An early warning system based on natural gas leakage detection, characterized in that, The system comprises: A pipeline identification unit, the pipeline identification unit is used to obtain information of a target detection area, identify the pipeline based on the information of the target detection area, and set a metering detection point; An opening and closing data acquisition unit, the opening and closing data acquisition unit is used to obtain real-time pipeline opening and closing data in the target detection area; A correlation adjustment unit, the correlation adjustment unit is used to generate an initial pipeline metering correlation value based on the pipeline identification result, and to perform correlation adjustment on the initial pipeline metering correlation value through the real-time pipeline opening and closing data to generate a real-time pipeline metering correlation value; A data collection unit, the data collection unit is used to deploy a flow metering device based on the metering detection point, collect pipeline natural gas flow data through the deployed flow metering device, and generate a flow data collection set; An error comparison unit, the error comparison unit is used to perform time sequence identification on the flow data collection set, perform flow error comparison by using the flow data collection set with the time sequence identification and the real-time pipeline metering associated value, and generate a segmented flow error comparison result; A segment leakage warning unit, the segment leakage warning unit is used to provide a segment leakage warning for the pipeline in the target detection area according to the segment flow error comparison result; An early warning value construction unit, the early warning value construction unit is used to construct an initial unit distance early warning value based on big data; A threshold value generating unit, the threshold value generating unit is used to obtain the distribution distance data through the metering detection point, and generate a real-time warning threshold value of the detection section through the real-time pipeline metering correlation value, the distribution distance data and the initial unit distance warning value; A threshold comparison and judgment unit, the threshold comparison and judgment unit is used to judge whether the segmented flow error comparison result meets the real-time warning threshold of the corresponding detection segment; A judgment and leakage warning unit, wherein the judgment and leakage warning unit is used to issue a leakage warning to the warning segment when there is a warning segment that does not meet the real-time warning threshold; A separation segment determination unit, the separation segment determination unit is used to determine whether the warning segment includes a separation segment pipeline; A verification instruction generating unit, wherein the verification instruction generating unit is used to generate a separate opening and closing verification instruction for the separation section pipeline when the early warning section includes the separation section pipeline; A separate opening and closing verification unit, the separate opening and closing verification unit is used to perform separate opening and closing verification control of the separation section pipeline based on the separate opening and closing verification instruction; A verification data collection unit, the verification data collection unit is used to collect real-time verification data of the independent opening and closing verification control process through the flow metering device to obtain a verification data set; A leakage evaluation unit, which is used to evaluate the leakage of the separation section pipeline through the verification data set and perform early warning identification of the separation section pipeline based on the leakage evaluation result.

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