Intelligent gas pipeline welding monitoring method and Internet of Things system based on government supervision

Abstract

The present invention provides a smart gas pipeline welding monitoring method and Internet of Things system based on government supervision. The method is executed based on the gas company management platform of the smart gas pipeline welding monitoring Internet of Things system, including: obtaining at least one set of welding point information and corresponding pipeline construction information in a preset pipeline area; determining a first welding risk based on the pipeline construction information; determining a first risk value based on the first welding risk and historical welding risks; generating a welding adjustment instruction in response to the first risk value meeting a preset condition; obtaining welding process information uploaded by a welding personnel terminal; performing preset processing on the welding process information to obtain key welding information and store it in a government supervision comprehensive database; and determining monitoring parameters for a preset pipeline area. The present invention conducts more comprehensive monitoring of the on-site welding quality of gas pipelines in view of different environmental factors to improve the safety and efficiency of welding operations.

Description

Technical Field

[0001] The present invention relates to the technical field of pipeline welding monitoring, and in particular to a smart gas pipeline welding monitoring method and an Internet of Things system based on government supervision. Background Art

[0002] The gas pipeline system is an important part of urban infrastructure, which is related to the safe transmission and efficient distribution of gas. In the installation and maintenance of gas pipelines, welding is a commonly used technical means to connect pipeline interfaces or repair defects. Since the gas pipeline system usually covers a wide area and the construction site environment varies greatly, the quality and efficiency of on-site welding are often significantly affected by a variety of environmental factors.

[0003] Prior art CN107420743B proposes a gas PE pipe network measurement and control system and method, which improves the safety and efficiency of the gas pipe network by setting multiple measurement and control nodes on the pipe network between the gas source and the user, and remotely controlling through intelligent valves. However, this method does not take into account the impact of different environmental factors on welding quality.

[0004] Therefore, we hope to propose a smart gas pipeline welding monitoring method and Internet of Things system based on government supervision, which can conduct more comprehensive monitoring of the on-site welding quality of gas pipelines according to different environmental factors, so as to improve the safety and efficiency of welding operations. Summary of the invention

[0005] The invention content includes a smart gas pipeline welding monitoring method based on government supervision. The method is executed based on the gas company management platform, and the method includes: obtaining at least one set of welding point information from the gas construction object platform through the gas company sensor network platform, each set of the welding point information corresponds to at least one welding point in the same preset pipeline area; obtaining pipeline construction information corresponding to each set of the welding point information from the gas construction object platform; determining a first welding risk based on the pipeline construction information; determining a first risk value based on the first welding risk and the historical welding risk; generating a welding adjustment instruction in response to the first risk value meeting a preset condition, and sending the welding adjustment instruction to the welding personnel terminal of the gas construction object platform; obtaining the welding process information uploaded by the welding personnel terminal, and performing preset processing on the welding process information to obtain welding key information, sending the welding key information and welding detection results to the smart gas government safety supervision management platform, and storing them in the government supervision comprehensive database; obtaining the monitoring parameters of the preset pipeline area based on the smart gas government safety supervision management platform.

[0006] The invention content includes a smart gas pipeline welding monitoring Internet of Things system based on government supervision, including a 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 gas construction object platform. The smart gas government safety supervision management platform includes a government supervision comprehensive database, the smart gas government safety supervision object platform includes a gas company management platform, and the gas construction object platform is configured to: obtain at least one set of welding point information and pipeline construction information corresponding to each set of welding point information; the gas company management platform is configured to: obtain at least one set of welding point information from the gas construction object platform through the gas company sensor network platform, each set of welding point information corresponds to at least one welding point in the same preset pipeline area; The platform obtains the pipeline construction information corresponding to each group of welding point information; determines a first welding risk based on the pipeline construction information; determines a first risk value based on the first welding risk and historical welding risks; generates a welding adjustment instruction in response to the first risk value satisfying a preset condition, and sends the welding adjustment instruction to the welding personnel terminal of the gas construction object platform; obtains the welding process information uploaded by the welding personnel terminal; performs preset processing on the welding process information to obtain welding key information, sends the welding key information and welding detection results to the smart gas government safety supervision and management platform, and stores them in the government supervision comprehensive database; obtains the monitoring parameters of the preset pipeline area based on the smart gas government safety supervision and management platform; the smart gas government safety supervision and management platform is configured to: determine the monitoring parameters of the preset pipeline area.

[0007] The present invention includes but is not limited to the following beneficial effects: (1) By evaluating different welding points in a preset pipeline area, determining the welding risk of each welding point, and giving priority to welding at welding points with larger risk values, it can be ensured that sufficient welding equipment or personnel can be in place in time, thereby preventing welding accidents or reducing the losses caused by welding accidents, and stabilizing the welding process; (2) By combining the environmental information of the preset pipeline area and the point environmental information of different welding points, the second welding risk caused by environmental factors at different welding points is analyzed, and targeted early warning notifications are made, which is convenient for maintenance personnel to take preventive measures and better meet the actual needs of safe welding and high-quality welding; (3) Considering the impact of the design delivery pressure on the welding risk threshold, excessive and invalid early warning notifications or unnecessary additional inspections are avoided, thereby reducing maintenance costs while ensuring welding safety; (4) Determining the pipeline hidden danger level through welding detection result analysis is more in line with actual needs, providing effective support for subsequent targeted risk prevention. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] The present invention will be further described in the form of exemplary embodiments, which will be described in detail by way of the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0009] Figure 1 is a schematic diagram of the platform structure of a smart gas pipeline welding monitoring Internet of Things system based on government supervision according to some embodiments of the present invention;

[0010] Figure 2 is an exemplary flow chart of a smart gas pipeline welding monitoring method based on government supervision according to some embodiments of the present invention;

[0011] Figure 3 is an exemplary flow chart of determining an early warning notification according to some embodiments of the present invention;

[0012] Figure 4 is an exemplary schematic diagram of a risk prediction model according to some embodiments of the present invention;

[0013] Figure 5 is an exemplary flow chart of determining welding detection results according to some embodiments of the present invention. DETAILED DESCRIPTION

[0014] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of the present invention. For ordinary technicians in this field, the present invention can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0015] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0016] As shown in the present invention, unless the context clearly indicates an exception, the words "a", "an", "a kind" and / or "the" do not specifically refer to the singular, but also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list, and the method or device may also include other steps or elements.

[0017] During the installation and maintenance of gas pipelines, welding is often used to reinforce the pipeline joints or defects. Because gas pipelines occupy a large area, different environmental factors may affect different welding positions during actual on-site welding, affecting welding efficiency and even welding quality.

[0018] Therefore, the present invention provides a smart gas pipeline welding monitoring method and Internet of Things system based on government supervision. Through the smart gas pipeline welding monitoring Internet of Things system based on government supervision, the pipeline construction information and environmental information of the gas pipelines in different preset areas are monitored, and the risks in the welding process are determined, thereby issuing early warning information, which is convenient for maintenance personnel to maintain the gas pipeline in time.

[0019] Figure 1 It is a schematic diagram of the platform structure of a smart gas pipeline welding monitoring Internet of Things system based on government supervision according to some embodiments of the present invention.

[0020] like Figure 1 As shown, the smart gas pipeline welding monitoring Internet of Things system 100 based on government supervision may include a 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 gas construction object platform 150.

[0021] The smart gas government safety supervision and management platform 110 is used for supervision and safety management of the gas pipeline welding process. In some embodiments, the smart gas government safety supervision and management platform 110 can be set on at least one distributed server. The distributed server includes a storage device.

[0022] In some embodiments, the smart gas government safety supervision management platform 110 can be configured to determine the monitoring parameters of a preset pipeline area and send them to the gas company management platform 131.

[0023] In some embodiments, the smart gas government safety supervision management platform 110 may include a government supervision comprehensive database 111 .

[0024] The government regulatory integrated database 111 may be used to store data related to the gas pipeline and its welding process, such as pipeline construction information, welding key information, welding test results, design delivery pressure, second environment information, etc. In some embodiments, the government regulatory integrated database 111 may be configured as a storage device.

[0025] The smart gas government safety supervision sensor network platform 120 is used to monitor and transmit data related to welding and the environment, and mainly serves government safety supervision departments for external supervision and compliance inspection.

[0026] In some embodiments, the smart gas government safety supervision sensor network platform 120 can be configured as a communication base station, a router, a wireless device, etc., and operate based on a communication network.

[0027] The smart gas government safety supervision object platform 130 is a platform for generating government supervision information and controlling information execution.

[0028] In some embodiments, the smart gas government safety supervision object platform 130 may include a gas company management platform 131 .

[0029] The gas company management platform 131 is a platform for managing gas company and pipeline welding related parameters. In some embodiments, the gas company management platform is set on the gas company server.

[0030] In some embodiments, the gas company management platform 131 is configured to: obtain at least one set of welding point information from the gas construction object platform 150 through the gas company sensor network platform 140, each set of welding point information corresponds to at least one welding point in the same preset pipeline area; obtain pipeline construction information corresponding to the welding point information from the gas construction object platform 150; determine a first welding risk based on the pipeline construction information; determine a first risk value based on the first welding risk and the historical welding risk; in response to the first risk value meeting a preset condition, generate a welding adjustment instruction, and send the welding adjustment instruction to the welding personnel terminal of the gas construction object platform 150; obtain the welding process information uploaded by the welding personnel terminal; perform preset processing on the welding process information to obtain welding key information, send the welding key information and welding detection results to the smart gas government safety supervision and management platform 110, and store them in the government supervision comprehensive database 111; based on the smart gas government safety supervision and management platform 110, obtain the monitoring parameters of the preset pipeline area.

[0031] In some embodiments, the gas company management platform 131 is further configured to: obtain the point environment information of each welding point from the gas construction object platform 150, and generate first environment information based on the environment information of the preset pipeline area and the point environment information; based on the first environment information and the pipeline construction information, evaluate the second welding risk of each welding point; based on the second welding risk, determine the early warning notification and send it to the gas construction object platform 150.

[0032] In some embodiments, the second welding risk includes a second instantaneous welding risk and a second cumulative welding risk at multiple time points, and the gas company management platform 131 is further configured to determine the second cumulative welding risk based on the second instantaneous welding risks at multiple time points.

[0033] In some embodiments, the gas company management platform 131 is further configured to: based on the first environmental information and the pipeline construction information, predict the second instantaneous welding risks at multiple time points through a risk prediction model.

[0034] In some embodiments, the gas company management platform 131 is further configured to: obtain the designed delivery pressure; determine the welding risk threshold based on the designed delivery pressure; in response to the second welding risk being greater than the welding risk threshold, generate an early warning notification and send it to the gas construction object platform 150.

[0035] In some embodiments, the gas company management platform 131 is further configured to determine a welding risk threshold based on a designed delivery pressure and a pressure fluctuation range of adjacent preset pipeline areas.

[0036] In some embodiments, the gas company management platform 131 is further configured to: determine key inspection areas and general inspection areas based on the second welding risk and welding process information; generate inspection equipment plans for key inspection areas and general inspection areas in the welding inspection stage after welding is completed; based on the inspection equipment plan, generate at least one set of inspection equipment matching and corresponding inspection personnel information, and send them to the corresponding inspection personnel terminal in the gas construction object platform 150. The inspection personnel inspect the gas pipeline after welding based on at least one set of inspection equipment and determine the welding inspection results.

[0037] In some embodiments, the gas company management platform 131 is further configured to: determine the pipeline hazard level of a preset pipeline area based on the welding detection results, and store the pipeline hazard level in the government supervision integrated database 111.

[0038] In some embodiments, the gas company management platform is further configured to: in response to the welding inspection result satisfying the second preset condition, calculate and determine the pipeline hidden danger level based on the welding quality grade and the designed delivery pressure of at least one welding point.

[0039] The gas company sensor network platform 140 is used to monitor and transmit data related to pipeline welding, mainly serving the gas company for internal management and operation optimization.

[0040] In some embodiments, the gas company sensor network platform 140 may be provided on a gas company communication device and run based on a communication network.

[0041] The gas construction object platform 150 is a platform for managing the construction objects of the gas pipeline. In some embodiments, the gas construction object platform 150 can be configured to communicate with the detection equipment, the welding personnel terminal, the detection personnel terminal, etc. The detection equipment is a device used to detect the welding conditions of the gas pipeline, for example, an air tightness detector, an environmental sensor. The environmental sensor may include a soil sensor (temperature, humidity, etc.), a vegetation index sensor, a remote sensing image sensor, etc.

[0042] In some embodiments, the gas construction object platform 150 can be configured to obtain welding detection results through detection equipment, and obtain point environmental information based on soil sensors (temperature, humidity, etc.), vegetation index sensors, remote sensing image sensors, etc.

[0043] The welding personnel terminal refers to a terminal device used by welding personnel who weld gas pipelines, such as a personal computer, a mobile device, etc. In some implementations, the welding personnel can upload welding process information to the gas construction object platform 150 through the welding personnel terminal. In some embodiments, the gas construction object platform 150 can be set on a gas company server.

[0044] In some embodiments, the gas construction object platform 150 is configured to obtain at least one set of welding point information and pipeline construction information corresponding to each set of welding point information.

[0045] In some embodiments, the gas company management platform 131 may generate a first welding risk and warning notification, and send it to the gas construction object platform 150 via the gas company sensor network platform 140 .

[0046] For details about the above embodiments, please refer to Figure 2-Figure 5 And related instructions.

[0047] Some embodiments of the present invention, through a smart gas pipeline welding monitoring Internet of Things system based on government supervision, can form an information operation closed loop between various platforms of the Internet of Things system, and coordinate and operate regularly under the unified management of the gas company management platform, thereby realizing the informatization and intelligence of gas pipeline welding monitoring management.

[0048] It should be noted that the above description of the smart gas pipeline welding monitoring IoT system and its platform based on government supervision is only for the convenience of description and does not limit the present invention to the scope of the embodiments. It is understandable that for those skilled in the art, after understanding the principle of the system, it is possible to arbitrarily combine the various platforms or form a subsystem to connect with other platforms without deviating from this principle. In some embodiments, Figure 1The smart gas government safety supervision management platform 110, smart gas government safety supervision sensor network platform 120, smart gas government safety supervision object platform 130, gas company sensor network platform 140 and gas construction object platform 150 disclosed in the disclosure can be different platforms in one system, or one platform can realize the functions of two or more of the above platforms. For example, each platform can share a storage database, or each platform can have its own storage database. Such variations are within the protection scope of the present invention.

[0049] Figure 2 FIG. 1 is an exemplary flow chart of a smart gas pipeline welding monitoring method based on government supervision according to some embodiments of the present invention. Figure 2 As shown, the process 200 includes the following steps 210 to 280. In some embodiments, the process 200 may be executed by the gas company management platform 131.

[0050] Step 210, obtaining at least one set of welding point information from the gas construction object platform through the gas company sensor network platform.

[0051] Welding point information refers to the location information where welding is planned.

[0052] In some embodiments, the gas company management platform 131 can obtain at least one set of welding point information from the gas construction object platform 150 through the gas company sensor network platform 140, and each set of welding point information corresponds to at least one welding point in the same preset pipeline area.

[0053] In some embodiments, the welding point information can be transmitted from the work order management center to the gas construction object platform 150, and / or the welding point information can be modified by the welding personnel terminal and uploaded to the gas construction object platform 150. The work order management center is a service center for dispatching gas pipeline welding work order tasks, and the work order management center can be configured on the gas company server. For instructions on the welding personnel terminal, please refer to Figure 1 .

[0054] A preset pipeline area refers to an area preset in a gas pipeline system. The preset pipeline area can be preset based on geographical location, management or functional requirements. For example, the preset pipeline area can be based on the pipeline area set by the gas GIS (Geographic Information System). For another example, a pipeline branch (such as from valve A to valve B) can be set as a preset pipeline area.

[0055] Step 220, obtaining pipeline construction information corresponding to each set of welding point information from the gas construction object platform.

[0056] Pipeline construction information refers to construction data and information related to pipeline construction. For example, pipeline construction information may include pipeline material, buried depth, inclination and inclination direction, length, etc. of a gas pipeline.

[0057] In some embodiments, the gas company management platform 131 may be configured to obtain pipeline construction information corresponding to each set of welding point information through a welding personnel terminal of the gas construction object platform 150 .

[0058] Step 230: determining a first welding risk based on the pipeline construction information.

[0059] The first welding risk refers to the welding risk related to the pipeline construction information. In some embodiments, the first welding risk includes a risk type and a risk level, and different pipeline construction information corresponds to first welding risks of different risk types and risk levels. For example, the risk level can be set to 1-10 levels, and the risk type can include electric shock risk, fire risk, welding deformation risk, etc.

[0060] In some embodiments, the gas company management platform 131 can search the first preset table based on the pipeline construction information to determine the risk type and risk level of the first welding risk. The first preset table includes a mapping relationship between the pipeline construction information and the risk type and risk level of the first welding risk. In some embodiments, the gas company management platform 131 can determine the mapping relationship based on historical welding data statistics. For example, the risk level corresponding to the risk type whose number of failures corresponding to the historical pipeline construction information reaches a preset number threshold is determined to be level 10.

[0061] Step 240: Determine a first risk value based on the first welding risk and the historical welding risks.

[0062] Historical welding risk refers to the welding risk that occurred in the historical period. For example, if the gas pipeline is a newly built pipeline, there is no historical welding risk. If the gas pipeline is a pipeline that has been repaired or renovated, the historical welding risk may be the historical welding risk that occurred in the pipeline before the repair or renovation.

[0063] The first risk value reflects the possibility of different types of risks occurring in the gas pipeline. The first risk value can be expressed as a score or probability.

[0064] In some embodiments, the gas company management platform 131 can determine the sub-first risk values ​​corresponding to different risk types based on the risk levels and risk types in the first welding risk and historical welding risks, and the weights corresponding to the first welding risk and the historical welding risk can be manually preset; the first risk value is determined by weighted calculation based on the sub-first risk values ​​corresponding to different risk types and the weights of different risk types, and the weights of different risk types can be set based on actual conditions. For example, higher weights can be set for electric shock risks, fire risks, etc., and lower weights can be set for welding deformation risks.

[0065] Step 250, in response to the first risk value satisfying a preset condition, generating a welding adjustment instruction, and sending the welding adjustment instruction to a welding personnel terminal of the gas construction object platform.

[0066] The preset condition may include that the first risk value is greater than a preset risk threshold.

[0067] The welding adjustment instruction is instruction information for instructing to adjust the welding process. For example, the welding adjustment instruction may include the adjusted welding sequence, the number of welding per batch, etc.

[0068] In some embodiments, the gas company management platform 131 can sort all the first risk values ​​greater than the preset risk threshold from large to small to determine the welding order, and the first risk value with the largest priority is welded; the number of welds in each batch is determined based on the number of welding equipment and the number of fire-fighting facilities. For welding points whose first risk value is less than or equal to the preset risk threshold, the welding order can be adjusted to the last.

[0069] The initial welding sequence is generally to weld in sequence, but if a large amount of welding work is carried out, the possibility of accidents (such as damage to welding equipment or other fires, etc.) in the area with the highest first risk value is high, and it may not be in place in time due to limited welding equipment or firefighting measures. Prioritizing welding with the highest first risk value can leave enough time for subsequent professional inspection and testing, as well as sufficient professional personnel, equipment, firefighting equipment, etc. in case of emergency.

[0070] Step 260, obtaining welding process information uploaded by the welding personnel terminal.

[0071] Welding process information refers to the relevant data collected during welding activities, such as welding process images, welding time, welding material usage, whether re-welding is performed, and the number of re-welding times.

[0072] In some embodiments, the gas company management platform 131 can obtain the welding process information uploaded by the welding personnel terminal of the gas construction object platform 150 through the gas company sensor network platform 140. For more information about the welding personnel terminal, see Figure 1 Related instructions.

[0073] Step 270, pre-process the welding process information to obtain key welding information, send the key welding information and welding detection results to the smart gas government safety supervision management platform, and store them in the government supervision comprehensive database.

[0074] The welding key information refers to the welding process information reflecting the welding key steps. The welding key information may include welding key images.

[0075] Preset processing is an optimization process for welding process information. For example, the preset processing may include extracting welding key images from welding process images through preprocessing, image segmentation technology, feature extraction and other methods. Preprocessing may include graying, filtering, edge detection and the like. Image segmentation technology can separate the welding key area from the background in the welding process image. Feature extraction can identify welding key images through features such as shape, texture, and color, and extract them from the entire welding process image.

[0076] Welding test results refer to the test results of the welding quality of the welding points after welding is completed. For the determination method of welding test results, please refer to Figure 5 Related instructions.

[0077] Step 280, based on the smart gas government safety supervision and management platform, obtain the monitoring parameters of the preset pipeline area.

[0078] Monitoring parameters refer to operating parameters of monitoring equipment. For example, monitoring parameters may include the monitoring frequency of the monitoring equipment.

[0079] The monitoring device is a device for obtaining environmental information of a preset pipeline area. In some embodiments, the monitoring device can be configured as a humidity sensor, a wind sensor, etc. The monitoring parameters can be determined by the smart gas government safety supervision management platform 110. The monitoring device can be connected to the smart gas government safety supervision management platform 110 in communication.

[0080] In some embodiments, the smart gas government safety supervision management platform 110 can determine monitoring parameters based on historical welding inspection results. For example, the more times and locations of poor welding quality appear in the historical welding inspection results of the preset pipeline area, the higher the monitoring frequency of the monitoring equipment to be set.

[0081] Field welding after trench excavation of gas pipelines is susceptible to a variety of uncontrollable factors. The preset pipeline area may be more than several kilometers long, and the information of different welding points may vary greatly. By analyzing the welding point information of different welding points in the preset pipeline area, the welding risk of each welding point can be more accurately assessed. By giving priority to welding points with higher risk values, it can be ensured that sufficient welding equipment or personnel can be in place in time, thereby preventing welding accidents or reducing the losses caused by welding accidents. The above method can ensure the stability of the welding process in the entire preset pipeline area and improve welding efficiency.

[0082] Figure 3 FIG. 1 is an exemplary flow chart of a method for determining an early warning notification according to some embodiments of the present invention. Figure 3 As shown, the process 300 includes the following steps 310 to 330. In some embodiments, the process 300 may be executed by the gas company management platform 131.

[0083] Step 310, obtaining the point environment information of each welding point from the gas construction object platform, and generating first environment information based on the environment information of the preset pipeline area and the point environment information.

[0084] The point environment information refers to the environment-related information near the welding point. For example, soil information, vegetation information, wind force, etc. near the welding point. Different welding points correspond to different point environment information. In some embodiments, the gas company management platform 131 can obtain the point environment information based on the gas construction object platform 150.

[0085] The environmental information of the preset pipeline area is information reflecting the overall environmental conditions in the preset pipeline area. For example, the weather and humidity in the preset pipeline area. In some embodiments, the gas company management platform 131 can obtain the environmental information of the preset pipeline area uploaded by the monitoring device based on the smart gas government safety supervision management platform 110. For more information about the monitoring device, see Figure 2 Related instructions.

[0086] For different welding points in the same preset pipeline area, the corresponding environmental information is generally the same, but the corresponding point environmental information may be different.

[0087] The first environmental information is information related to the current environment in which the gas pipeline is located during welding. For example, the weather, humidity, temperature, soil information, and vegetation information of the welding point in the environment in which the pipeline to be welded at the current welding point is located. In some embodiments, each welding point corresponds to a first environmental information.

[0088] In some embodiments, for a certain welding point, the gas company management platform 131 may use the environmental information of the preset pipeline area where the welding point is located and the point environmental information corresponding to the welding point as the first environmental information corresponding to the welding point.

[0089] Step 320: Evaluate the second welding risk of each welding point based on the first environmental information and the pipeline construction information.

[0090] The second welding risk refers to the risk of the welding process caused by environmental factors.

[0091] In some embodiments, the gas company management platform 131 may determine the second welding risk through a variety of methods based on the first environmental information and pipeline construction information.

[0092] For example, for a certain welding point, the gas company management platform 131 can determine the environmental impact factor based on the first environmental information of the welding point; determine the first welding risk based on the pipeline construction information; and determine the product of the environmental impact factor and the first welding risk as the second welding risk of the welding point. Figure 2 Related instructions.

[0093] In some embodiments, the gas company management platform 131 can search the second preset table based on the first environmental information of the welding point, determine the impact factors corresponding to different first environmental information, and calculate the environmental impact factors based on the impact factors corresponding to different first environmental information.

[0094] The second preset table includes different first environmental impact information and corresponding impact factors. The impact factors include humidity impact factor, weather impact factor, wind impact factor, soil information impact factor and vegetation information impact factor. The impact factor can be determined by manually evaluating the impact degree of different first environmental information.

[0095] In some embodiments, the gas company management platform 131 can calculate the environmental impact factor based on formula (1), which is as follows:

[0096] Environmental impact factor = humidity impact factor × k1 + weather impact factor × k2 + wind impact factor × k3 + soil information impact factor × k4 + vegetation information impact factor × k5 (1)

[0097] Among them, k1-k5 are coefficients greater than 0 and can be manually preset according to actual conditions.

[0098] In some embodiments, the second welding risk includes a second instantaneous welding risk and a second cumulative welding risk at a plurality of time points.

[0099] The second instantaneous welding risk refers to the welding risk caused by environmental factors at a specific time point. In some embodiments, for a certain time point, the gas company management platform 131 can determine different influencing factors based on the first environmental information obtained at the time point; determine the environmental influencing factor at the time point through formula (1) based on the different influencing factors corresponding to the time point; and determine the product of the environmental influencing factor and the first welding risk as the second instantaneous welding risk at the time point.

[0100] The first environmental information at this time point can be determined by the environmental information of the preset pipeline area and the point environmental information measured at this time point. The specific method is similar to the above, and the relevant description can be found in the above. The determination method of the influencing factor and formula (1) can be found in the above description.

[0101] In some embodiments, the gas company management platform 131 can also predict the second instantaneous welding risk through a risk prediction model based on the first environmental information and pipeline construction information. Figure 4 And related instructions.

[0102] The second cumulative welding risk refers to the comprehensive welding risk caused by environmental factors at multiple time points.

[0103] In some embodiments, the gas company management platform 131 can determine the second cumulative welding risk based on the second instantaneous welding risk at multiple time points. The multiple time points refer to multiple time points selected from the past to the current preset time period. The second cumulative welding risk is positively correlated with the second instantaneous welding risk at multiple time points.

[0104] For example, the gas company management platform 131 can calculate the second cumulative welding risk based on formula (2), and formula (2) is as follows:

[0105] The second cumulative welding risk = A1×a1+A2×a2+A3×a3+……+A n ×a n (2)

[0106] Among them, A1-A n Indicates the second instantaneous welding risk from the first time point to the nth time point; a1-a n Indicates the weight corresponding to the second instantaneous welding risk from the first time point to the nth time point. The weight can be preset manually. For example, the closer the time point is to the current time, the greater the weight; for another example, the weight i can be determined based on the difference between the environmental impact factor at time point i and the environmental impact factor at the previous time point i-1. The greater the difference, the greater the weight. That is, at the time point when the first environmental information changes significantly, the corresponding second instantaneous welding risk has a higher weight; if the first environmental information does not change, the weight can be set to 0 or a lower value.

[0107] In some embodiments of the present invention, the second cumulative welding risk is determined based on the second instantaneous welding risk at multiple time points, which can reflect the cumulative impact of the environment of the welding point changing over time on the second welding risk; and then targeted early warning notifications can be made according to the changes in the second welding risk, so that maintenance personnel can take preventive measures.

[0108] Step 330: Based on the second welding risk, determine a warning notification and send it to the gas construction object platform.

[0109] The early warning notification is information indicating that there is a welding risk in the gas pipeline. The early warning notification may be in the form of voice, text, etc. In some embodiments, the early warning notification may include the welding point where there is a welding risk, the early warning level, etc. The early warning level reflects the severity of the welding risk.

[0110] In some embodiments, the gas company management platform 131 can determine the warning notification based on the second welding risk through a variety of methods. For example, the gas company management platform 131 can determine the warning level by searching a third preset table based on the second welding risk. The third preset table includes different warning risk levels and corresponding ranges of the second welding risk, and the third preset table can be manually set based on experience.

[0111] In some embodiments, the gas company management platform 131 can obtain the designed delivery pressure; based on the designed delivery pressure, determine the welding risk threshold of each welding point; in response to the second welding risk being greater than the welding risk threshold, generate an early warning notification and send it to the gas construction object platform.

[0112] The design delivery pressure refers to the delivery pressure determined when the gas pipeline is designed or planned.

[0113] In some embodiments, the gas company management platform 131 can obtain the design delivery pressure sent by the government supervision integrated database 111 through the smart gas government safety supervision sensor network platform 120. The smart gas government safety supervision management platform 110 can obtain the design delivery pressure uploaded by the government user and send it to the government supervision integrated database 111.

[0114] The welding risk threshold is a critical value of the second welding risk.

[0115] In some embodiments, the gas company management platform 131 can search the fourth preset table based on the design delivery pressure to determine the corresponding universal welding risk threshold as the welding risk threshold. The fourth preset table includes a mapping relationship between the design delivery pressure and the universal welding risk threshold. The fourth preset table can be manually set based on experience, wherein the greater the design delivery pressure, the more likely the risk is to occur, and the corresponding universal welding risk threshold should be lower.

[0116] In some embodiments, the gas company management platform 131 can calculate the difference between the second welding risk and the welding risk threshold in response to the second welding risk being greater than the welding risk threshold; search the preset warning table based on the difference to determine the warning level of the warning notification, and send the warning notification including the warning level to the gas construction object platform 150. The preset warning table includes a mapping relationship between the difference between the second welding risk and the welding risk threshold and the warning level. The mapping relationship can be preset according to experience or demand. The larger the difference, the higher the risk, and the higher the warning level.

[0117] Determining the welding risk threshold based on the design delivery pressure can make the set welding risk threshold more reasonable, avoid too many invalid warning notifications or unnecessary additional inspections, thereby reducing maintenance costs while ensuring welding safety.

[0118] In some embodiments, the gas company management platform 131 may also determine a welding risk threshold based on the designed delivery pressure and pressure fluctuation range of adjacent preset pipeline areas.

[0119] The adjacent preset pipeline area corresponds to the upstream and downstream pipelines or pipeline branches of the preset pipeline area where the current welding point is located.

[0120] The pressure fluctuation range reflects the pressure fluctuation of the gas pipeline, including the upper limit and the lower limit of pressure fluctuation.

[0121] The pressure fluctuation range of the preset pipeline area is related to the pipeline connection status and the pipe material in the pipeline construction information. The pipeline connection status reflects the connection relationship between adjacent pipelines in the preset pipeline area.

[0122] In some embodiments, the pipeline connection condition includes an out-degree and an in-degree. The out-degree refers to the number of pipelines with gas flowing out of all pipelines connected to a pipeline. The in-degree refers to the number of pipelines with gas flowing in of all pipelines connected to a pipeline. For a certain welding point, the pipeline connection condition corresponding to the welding point refers to the pipeline connection condition of the pipeline where the welding point is located.

[0123] In some embodiments, the gas company management platform 131 can construct a first feature vector based on at least one of the pipeline connection conditions and the pipeline material, search the fifth preset table, and use the historical pressure fluctuation range corresponding to the first reference vector with the highest similarity to the first feature vector as the pressure fluctuation range of the preset pipeline area. The fifth preset table includes the first reference vector and the corresponding historical pressure fluctuation range, and the first reference vector is constructed based on the historical pipeline connection conditions and the historical pipeline material. The historical pipeline connection conditions include at least historical out-degree and historical in-degree. Since the pipeline is more susceptible to gas pressure fluctuations caused by downstream gas users, the out-degree has a greater impact on the pressure fluctuation range. The pipeline material affects parameters such as gas transmission flow resistance and pressure drop. The similarity can be determined by the vector distance, and the similarity is positively correlated with the vector distance.

[0124] In some embodiments, the gas company management platform 131 can determine a universal welding risk threshold based on the designed delivery pressure, determine a pressure fluctuation coefficient based on the designed delivery pressure and the pressure fluctuation range, and determine a welding risk threshold based on the universal welding risk threshold and the pressure fluctuation coefficient. For determining a universal welding risk threshold based on the designed delivery pressure, please refer to the above related description.

[0125] The pressure fluctuation coefficient is positively correlated with the pressure fluctuation range and negatively correlated with the designed delivery pressure. For example, the gas company management platform 131 can calculate the pressure fluctuation coefficient through formula (3), and formula (3) is as follows:

[0126] Pressure fluctuation coefficient = maximum value of fluctuation in the pressure fluctuation range / pipeline design delivery pressure (3)

[0127] The maximum value of the pressure fluctuation in the pressure fluctuation range may be the maximum value of the absolute value of the pressure fluctuation upper limit and the absolute value of the pressure fluctuation lower limit.

[0128] In some embodiments, the welding risk threshold is positively correlated with the general welding risk threshold and negatively correlated with the pressure fluctuation coefficient. For example, the gas company management platform 131 can calculate the welding risk threshold by formula (4), which is as follows:

[0129] Welding risk threshold = general welding risk threshold × (1-pressure fluctuation coefficient) (4)

[0130] In some embodiments of the present invention, the welding risk threshold is determined by combining the designed delivery pressure and pressure fluctuation range of adjacent preset pipelines, fully considering the upstream and downstream pipeline environment of the preset pipeline area and the influence of the pipeline material on the pipeline delivery pressure, so that the determination of the welding risk threshold is more in line with the actual situation, thereby avoiding the situation where the platform sends too many invalid warnings or the warning fails.

[0131] In some embodiments of the present invention, since the welding points of the gas pipeline are dispersed in a preset pipeline area, the welding operation is easily affected by environmental changes, which makes the welding process risky, affects the welding quality or endangers the safety of people and property, etc.; by combining the environmental information of the preset pipeline area and the point environmental information of different welding points, the second welding risk of each welding point is evaluated and an early warning is issued, which better meets the actual needs of safe welding and high-quality welding.

[0132] It should be noted that the above description of the process 300 is only for illustration and description, and does not limit the scope of application of the present invention. For those skilled in the art, various modifications and changes can be made to the process 300 under the guidance of the present invention. However, these modifications and changes are still within the scope of the present invention.

[0133] Figure 4 is an exemplary schematic diagram of a risk prediction model according to some embodiments of the present invention.

[0134] In some embodiments, Figure 4 As shown, the gas company management platform 131 can predict the second instantaneous welding risk 430 at multiple time points through the risk prediction model 420 based on the first environmental information 411 and the pipeline construction information 412.

[0135] The risk prediction model 420 is a model for predicting the second instantaneous welding risk of a welding point. In some embodiments, the risk prediction model 420 is a machine learning model, for example, at least one of an LSTM (Long-Short Term Memory) model, a recurrent neural network (RNN) model, or other models.

[0136] In some embodiments, the risk prediction model can be trained by a large number of training samples and training labels corresponding to the training samples. For example, the gas company management platform 131 can perform multiple rounds of iterations based on a large number of training samples and training labels, and when the preset conditions are met, the iteration is terminated to obtain a trained risk prediction model. The preset conditions may be the convergence of the loss function, the number of iterations reaching a threshold, etc.

[0137] In some embodiments, the gas company management platform 131 can select multiple training samples, input one or more samples into the prediction model, and obtain model prediction outputs corresponding to the multiple training samples; based on the model prediction outputs corresponding to one or more samples, and the training labels, substitute them into the formula of a predefined loss function to calculate the value of the loss function; based on the value of the loss function, reversely iterate and update the model parameters in the initial risk prediction model through gradient descent or other methods.

[0138] Each group of training samples in the training samples may include sample first environment information and sample pipeline construction information. The training samples may be obtained through historical data generated by historical welding processes. The training labels corresponding to the training samples are the sample second instantaneous welding risks corresponding to each group of training samples. The training labels may be obtained through manual labeling or automatic labeling.

[0139] The training label can be determined based on the subsequent actual accidents in the historical welding process. For example, if an accident occurred in the historical welding process, the training label is set to 6-10, and the value of the training label can be determined based on the severity and loss of the accident, and the severity and loss can be obtained from the government supervision comprehensive database 111. For another example, if no accident has occurred in the historical welding process up to the present, the training label is set to 1-5, and the value of the training label can be determined based on the time interval between the historical time point and the current time point. The historical time point refers to the time point corresponding to the first environmental information of the sample. The longer the time interval, the lower the value of the training label.

[0140] In some embodiments, the risk prediction model 420 includes an environmental feature extraction layer and a risk assessment layer.

[0141] The environment feature extraction layer is a model for extracting environment feature vectors. The environment feature extraction layer can be a machine learning model, for example, an LSTM model, etc. In some embodiments, the input of the environment feature extraction layer includes the first environment information 411, and the output includes the environment feature vector.

[0142] The risk assessment layer is a model for assessing the second instantaneous welding risk of a welding point. The input of the risk assessment layer includes the environmental feature vector output by the environmental feature extraction layer and pipeline construction information 412, and the output includes the second instantaneous welding risk 430 at multiple time points.

[0143] In some embodiments, the gas company management platform 131 may use the trained environmental feature extraction layer and risk assessment layer as the risk prediction model 420. In some embodiments, the association probability determination layer and the association type determination layer may be obtained through joint training.

[0144] In some embodiments, the sample data for joint training can be obtained by training a large number of training samples and training labels corresponding to the training samples. For details about the training samples, please refer to the above related description.

[0145] For example, the gas company management platform 131 can input the first environmental information of the sample into the environmental feature extraction layer to obtain the environmental feature vector output by the environmental feature extraction layer; the environmental feature vector and the sample pipeline construction information are used as training sample data and input into the risk assessment layer to obtain the road association type and traffic relevance output by the risk assessment layer. Based on the actual road association type and traffic relevance, the second instantaneous welding risk output by the association type determination layer model, the parameters of the environmental feature extraction layer and the association probability determination layer model are synchronously updated. By updating the parameters, the trained environmental feature extraction layer and risk assessment layer models are obtained. The specific method for model training is similar to that described above, and please refer to the relevant instructions above.

[0146] In some embodiments of the present invention, the second instantaneous welding risk is predicted by a risk prediction model, which can improve the efficiency and accuracy of the prediction and reduce misjudgment, thereby making the subsequent early warning notification more accurate.

[0147] In some embodiments, Figure 4 As shown, the input of the risk prediction model also includes the second environmental information 413. For example, the second environmental information 413 can be input into the environmental feature extraction layer, and the environmental feature extraction layer can determine the environmental feature vector based on the first environmental information and the second environmental information.

[0148] The second environmental information refers to the relevant information of the future environment in which the pipeline will be placed after it is put into use in the future. The second environmental information can reflect the environmental conditions of the preset pipeline area in a relatively long period of time in the future.

[0149] In some embodiments, the gas company management platform 131 may obtain local future climate information and weather forecasts for the preset pipeline area from the government regulatory integrated database 111 as the second environmental information.

[0150] In some embodiments, the corresponding training samples may include sample first environmental information, sample pipeline construction information, and sample second environmental information. The gas company management platform 131 may input the sample first environmental information and the sample second environmental information into the environmental feature extraction layer to obtain the environmental feature vector output by the environmental feature extraction layer.

[0151] The second environmental information is also used as the input of the risk prediction model, taking into account the long-term environmental impact after the pipeline is put into use, and then the second instantaneous welding risk that is more in line with the future environment can be determined, so that the gas pipeline can be maintained in advance during the pipeline construction phase, avoiding unexpected failures or hidden dangers after the pipeline is put into use, and ensuring the safe and reliable operation of the gas pipeline.

[0152] In some embodiments, model training of the risk prediction model includes a first training sample and a second training sample.

[0153] In some embodiments, the first training sample includes sample pipeline construction information, sample first environment information and sample second environment information that meet the first preset condition; the second training sample includes sample pipeline construction information, sample first environment information and sample second environment information that do not meet the first preset condition.

[0154] The first preset condition may include that the fluctuation value of the first environmental information and the fluctuation value of the second environmental information within the preset time period are both less than the preset fluctuation threshold. The fluctuation value of the first environmental information refers to the difference between the maximum value and the minimum value of the first environmental information within the preset time period, for example, the difference between the maximum value and the minimum value of humidity, and / or the difference between the maximum value and the minimum value of wind force, and the fluctuation value of the second environmental information is the same. For another example, the first preset condition may include that neither the first environmental information nor the second environmental information within the preset time period contains abnormal weather.

[0155] In some embodiments, the number of the first training samples and the number of the second training samples can be a preset ratio. The method for determining the training labels corresponding to the first training samples and the second training samples is similar to the method for determining the training labels of the risk prediction model described above, and the details can be referred to the relevant descriptions described above.

[0156] When the first preset condition is met, it indicates that the environmental changes are stable. By selecting the first training sample when the environmental changes are stable and the second training sample when the environmental fluctuations are large for training the risk prediction model, the applicable scenarios and stability of the risk prediction model can be increased.

[0157] Figure 5 FIG. 1 is an exemplary flow chart of determining welding detection results according to some embodiments of the present invention. Figure 5 As shown, the process 500 includes the following steps 510 to 530. Steps 510 to 530 may be executed by the gas company management platform 131.

[0158] Step 510: Based on the second welding risk and the welding process information, determine the key inspection area and the general inspection area. Figure 3 Related instructions; information about the welding process can be found in Figure 2 Related instructions.

[0159] The key inspection area refers to the area consisting of multiple welding points that need to be paid special attention to.

[0160] The general inspection area refers to the area consisting of multiple welding points that require general attention.

[0161] In some embodiments, the gas company management platform 131 can select multiple welding points where the second instantaneous welding risk exceeds the welding risk threshold, and construct multiple second reference vectors through the welding process information corresponding to the multiple welding points, the second welding risk, the pipeline construction information, and the physical distance between each welding point in the multiple welding points; based on the clustering of the multiple second reference vectors, multiple cluster centers are determined, and at least one welding point corresponding to the second reference vector contained in the cluster cluster of each cluster center is used as a key detection area.

[0162] In some embodiments, the gas company management platform 131 may treat the remaining welding points of the plurality of welding points whose second instantaneous welding risk exceeds the welding risk threshold as ordinary detection areas except for the welding points included in the key detection area. For more information about the welding risk threshold, see Figure 3 Related instructions.

[0163] Step 520, in the welding inspection stage after welding is completed, generate the inspection equipment planning for the key inspection area and the general inspection area.

[0164] The detection equipment planning includes the detection order and the number of detection equipment required. In some embodiments, the gas company management platform 131 can determine the key detection area as the priority detection area; determine the number of detection equipment based on the number of welding points in the key detection area, for example, each welding point is configured with one or more detection equipment. That is, a welding point in the key detection area may require at least one detection equipment to work together.

[0165] In some embodiments, the gas company management platform 131 can set the number of detection devices in the general detection area to a default number. The default number can be manually preset based on experience, and the default number can be smaller than the number of welding points in the key detection area. That is, one detection device in the general detection area can detect multiple welding points.

[0166] Step 530: Based on the inspection equipment planning, at least one set of equipment to be inspected and corresponding inspection personnel information are generated and sent to the corresponding inspection personnel terminal in the gas construction object platform. The inspection personnel conduct inspection based on the at least one set of equipment to be inspected and determine the welding inspection result. The inspection personnel information includes the number of inspection personnel.

[0167] In some embodiments, the gas company management platform 131 can search the sixth preset table to determine the equipment to be detected and the corresponding detection personnel information based on the detection equipment planning of the key detection area and the general detection area. The sixth preset table includes the mapping relationship between the detection equipment planning and the equipment to be detected and the detection personnel information. The mapping relationship can be set manually.

[0168] Welding inspection is the inspection of the welding condition of the pipeline after welding. Welding inspection includes air tightness inspection and trial operation inspection. The welding inspection result refers to the inspection result of the welding quality of the welding point by the inspector after welding is completed. For example, the welding inspection result includes whether there are hidden dangers in welding.

[0169] By setting up different equipment to be tested and assigning different test personnel in key test areas and general test areas, the test efficiency can be improved and labor costs can be saved.

[0170] In some embodiments, the gas company management platform 131 can determine the pipeline hazard level of a preset pipeline area based on the welding detection results, and store the pipeline hazard level in the government supervision comprehensive database 111.

[0171] The pipeline hidden danger level reflects the possibility of the pipeline having welding hidden dangers. For example, the pipeline hidden danger level can be set to 1-10, and the higher the pipeline hidden danger level, the greater the possibility of the pipeline having welding hidden dangers. In some embodiments, the gas company management platform 131 can determine the pipeline hidden danger level to the highest level based on the existence of hidden dangers in the welding detection results.

[0172] When maintaining gas pipelines, more attention is paid to the overall hidden danger level of the pipelines and the safety and reliability of the pipelines after operation. Therefore, determining the hidden danger level of the pipelines through welding inspection result analysis is more in line with actual needs and provides effective support for subsequent targeted risk prevention.

[0173] In some embodiments, the gas company management platform 131 may calculate and determine the pipeline hidden danger level based on the welding quality grade of at least one welding point in response to the welding detection result satisfying the second preset condition.

[0174] The second preset condition refers to a preset condition that the welding detection result satisfies. In some embodiments, the second preset condition may include that there is no hidden danger in the welding detection result.

[0175] Welding quality grading refers to the rating of the expected welding quality of different welding points. The higher the welding quality grading, the better the welding quality.

[0176] In some embodiments, for a certain welding point, the gas company management platform 131 can construct a second feature vector based on at least one of the welding process images, welding time, welding material usage, whether to re-weld, and the number of re-welds in the welding process information, and search the preset quality grading table for the reference welding quality grade corresponding to the third reference vector with the smallest distance from the second feature vector as the welding quality grade of the welding point.

[0177] The preset quality grading table includes a third reference vector and a corresponding reference welding quality grading. The third reference vector can be constructed based on historical welding process information and the corresponding reference welding quality grading. The preset quality grading table can be manually established based on historical welding data and manual inspection and grading of welding quality. For welding process information, please refer to Figure 2 Related instructions.

[0178] In some embodiments, for a preset pipeline area, the gas company management platform 131 can determine the pressure fluctuation coefficient based on the design delivery pressure of the preset pipeline area; calculate at least one pipeline hidden danger sub-level based on the pressure fluctuation coefficient and the welding quality classification of at least one welding point in the preset pipeline area; determine the pipeline hidden danger level based on the highest pipeline hidden danger sub-level in at least one pipeline hidden danger sub-level and the hidden danger distance between the first welding point and the second welding point. The hidden danger distance refers to the physical distance between the first welding point and the second welding point.

[0179] The first welding point is the welding point at which the highest pipeline hidden danger sub-level of the preset pipeline area is located, and the second welding point is the welding point at which the highest pipeline hidden danger sub-level of the adjacent preset pipeline area is located. For information on determining the pressure fluctuation coefficient based on the design delivery pressure, please refer to Figure 3 Related instructions.

[0180] In some embodiments, the pipeline hidden danger sub-level is positively correlated with the pressure fluctuation coefficient and negatively correlated with the welding quality grade. For example, the gas company management platform 131 can calculate the pipeline hidden danger sub-level through formula (5). Formula (5) is as follows:

[0181] Pipeline hidden danger sub-level = environmental impact factor × (1 + pressure fluctuation coefficient) / welding quality grade (5)

[0182] Among them, environmental impact factors can be found in Figure 3 Related instructions: The pressure fluctuation coefficient can be found in Figure 3 Related instructions.

[0183] In some embodiments, the pipeline hazard level of the preset pipeline area is positively correlated with the highest pipeline hazard sublevel in at least one pipeline hazard sublevel in the preset pipeline area, and is positively correlated with the hazard distance. For example, the gas company management platform 131 can calculate the pipeline hazard level based on formula (6), and formula (6) is as follows:

[0184] Pipeline hazard level = highest pipeline hazard sub-level × hazard distance / preset risk distance (6)

[0185] Among them, the hidden danger distance can refer to the relevant instructions above; the preset risk distance can be preset in advance and uploaded to the government supervision comprehensive database 111.

[0186] In some embodiments of the present invention, when the manually determined welding inspection results do not present safety hazards, the pipeline hazard level of a preset pipeline area can be determined by at least one welding quality grade and a designed delivery pressure, thereby avoiding human misjudgment and improving judgment accuracy.

[0187] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of the present invention. Although not explicitly stated herein, those skilled in the art may make various modifications, improvements and corrections to the present invention. Such modifications, improvements and corrections are suggested in the present invention, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of the present invention.

[0188] At the same time, the present invention uses specific words to describe the embodiments of the present invention. For example, "some embodiments" means a certain feature, structure or characteristic related to at least one embodiment of the present invention. Therefore, it should be emphasized and noted that "some embodiments" mentioned twice or more in different positions in the present invention do not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of the present invention can be appropriately combined.

[0189] In addition, the order of the processing elements and sequences, the use of alphanumeric characters, or the use of other names described in the present invention are not intended to limit the order of the processes and methods of the present invention. Although the above disclosure discusses some of the invention embodiments currently considered useful through various examples, it should be understood that such details are only for illustrative purposes and are not limited to the disclosed embodiments. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.

[0190] Similarly, it should be noted that in order to simplify the description of the present invention and thus facilitate the understanding of one or more embodiments of the invention, in the above description of the embodiments of the present invention, multiple features are sometimes combined into one embodiment, figure or description thereof. In fact, the features of the embodiment are less than all the features of the single embodiment disclosed above.

[0191] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the invention are approximate values, which may change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of the range in some embodiments of the present invention are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0192] Each patent, patent application, patent application disclosure, and other materials, such as articles, books, instructions, publications, documents, etc., cited in this invention are hereby incorporated by reference in their entirety. Except for application history documents that are inconsistent with or conflicting with the contents of this invention, documents that limit the broadest scope of this invention (currently or later attached to this invention) are also excluded. It should be noted that if the description, definition, and / or use of terms in the accompanying materials of this invention are inconsistent or conflicting with the contents of this invention, the description, definition, and / or use of terms in this invention shall prevail.

[0193] Finally, it should be understood that the embodiments described in the present invention are only used to illustrate the principles of the embodiments of the present invention. Other variations may also fall within the scope of the present invention. Therefore, as an example and not a limitation, the alternative configurations of the embodiments of the present invention may be considered consistent with the teachings of the present invention. Accordingly, the embodiments of the present invention are not limited to the embodiments explicitly introduced and described in the present invention.

Claims

1. A smart gas pipeline welding monitoring method based on government supervision, characterized in that: The method is performed based on a gas company management platform of a smart gas pipeline welding monitoring Internet of Things system, and the method includes: Obtain at least one set of welding point information from the gas construction object platform through the gas company sensor network platform, each set of welding point information corresponds to at least one welding point in the same preset pipeline area; Acquire pipeline construction information corresponding to each set of welding point information from the gas construction object platform; Searching a first preset table based on the pipeline construction information to determine a first welding risk, wherein the first welding risk includes a risk type and a risk level, and the first preset table includes a mapping relationship between the pipeline construction information and the risk type and the risk level of the first welding risk; Based on the first welding risk and the historical welding risk, weighted calculation is performed to determine the sub-first risk values ​​corresponding to different risk types; based on the sub-first risk values ​​corresponding to the different risk types and the weights of the different risk types, weighted calculation is performed to determine the first risk value; In response to the first risk value satisfying a preset condition, generating a welding adjustment instruction, and sending the welding adjustment instruction to a welding personnel terminal of the gas construction object platform; Obtaining welding process information uploaded by the welding personnel terminal; The welding process information is processed in advance to obtain key welding information, and the key welding information and welding detection results are sent to the smart gas government safety supervision and management platform and stored in the government supervision comprehensive database, wherein the key welding information refers to welding process information reflecting key welding steps, and the key welding information includes key welding images, and the welding detection results refer to the detection results of the welding quality of the welding points after the welding is completed; Based on the smart gas government safety supervision and management platform, the monitoring parameters of the preset pipeline area are obtained, where the monitoring parameters refer to the operating parameters of the monitoring equipment, and the monitoring parameters include the monitoring frequency of the monitoring equipment; The method further comprises: Acquire the point environment information of each welding point from the gas construction object platform, and generate the first environment information based on the environment information of the preset pipeline area and the point environment information, wherein the point environment information refers to the environment related information near the welding point, the environment information of the preset pipeline area is the information reflecting the overall environment in the preset pipeline area, and the first environment information is the information reflecting the current environment of the gas pipeline during welding; For each welding point, searching a second preset table based on the first environmental information of the welding point to determine an environmental impact factor, wherein the second preset table includes different first environmental information and corresponding impact factors; determining the first welding risk based on the pipeline construction information; and determining the product of the environmental impact factor and the first welding risk as the second welding risk of the welding point; Based on the second welding risk, a warning notification is determined and sent to the gas construction object platform.

2. The method according to claim 1, characterized in that: The determining, based on the second welding risk, a warning notification and sending the warning notification to the gas construction object platform includes: Obtain the designed delivery pressure; Based on the designed delivery pressure, determining a welding risk threshold of each welding point; In response to the second welding risk being greater than the welding risk threshold, the early warning notification is generated and sent to the gas construction object platform.

3. The method according to claim 1, characterized in that: The method comprises: Based on the second welding risk and the welding process information, determining a key inspection area and a common inspection area; In the welding inspection stage after welding is completed, generating the inspection equipment planning for the key inspection area and the general inspection area; Based on the detection equipment planning, at least one group of equipment to be detected and corresponding detection personnel information are generated and sent to the corresponding detection personnel terminal in the gas construction object platform. The detection personnel perform detection based on the at least one group of equipment to be detected and determine the welding detection result.

4. The method according to claim 3, characterized in that: The method comprises: Based on the welding detection results, the pipeline hazard level of the preset pipeline area is determined, and the pipeline hazard level is stored in the government supervision comprehensive database.

5. A smart gas pipeline welding monitoring Internet of Things system based on government supervision, characterized in that: It includes a 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 gas construction object platform. The smart gas government safety supervision management platform includes a government supervision comprehensive database, and the smart gas government safety supervision object platform includes a gas company management platform. The gas construction object platform is configured to: obtain at least one set of welding point information and pipeline construction information corresponding to each set of welding point information; The gas company management platform is configured as follows: Acquire at least one set of the welding point information from the gas construction object platform through the gas company sensor network platform, each set of the welding point information corresponds to at least one welding point in the same preset pipeline area; Acquire the pipeline construction information corresponding to each set of the welding point information from the gas construction object platform; Searching a first preset table based on the pipeline construction information to determine a first welding risk, wherein the first welding risk includes a risk type and a risk level, and the first preset table includes a mapping relationship between the pipeline construction information and the risk type and the risk level of the first welding risk; Based on the first welding risk and the historical welding risk, weighted calculation is performed to determine sub-first risk values ​​corresponding to different risk types; Determine a first risk value by weighted calculation based on the sub-first risk values ​​corresponding to the different risk types and the weights of the different risk types; In response to the first risk value satisfying a preset condition, generating a welding adjustment instruction, and sending the welding adjustment instruction to a welding personnel terminal of the gas construction object platform; Obtaining welding process information uploaded by the welding personnel terminal; The welding process information is processed in advance to obtain key welding information, and the key welding information and welding detection results are sent to the smart gas government safety supervision and management platform and stored in the government supervision comprehensive database, wherein the key welding information refers to welding process information reflecting key welding steps, and the key welding information includes key welding images, and the welding detection results refer to the detection results of the welding quality of the welding points after the welding is completed; Based on the smart gas government safety supervision and management platform, the monitoring parameters of the preset pipeline area are obtained, where the monitoring parameters refer to the operating parameters of the monitoring equipment, and the monitoring parameters include the monitoring frequency of the monitoring equipment; The smart gas government safety supervision and management platform is configured to: determine the monitoring parameters of the preset pipeline area; The gas company management platform is further configured as follows: Acquire the point environment information of each welding point from the gas construction object platform, and generate the first environment information based on the environment information of the preset pipeline area and the point environment information, wherein the point environment information refers to the environment related information near the welding point, the environment information of the preset pipeline area is the information reflecting the overall environment in the preset pipeline area, and the first environment information is the information reflecting the current environment of the gas pipeline during welding; For each welding point, searching a second preset table based on the first environmental information of the welding point to determine an environmental impact factor, wherein the second preset table includes different first environmental information and corresponding impact factors; determining the first welding risk based on the pipeline construction information; and determining the product of the environmental impact factor and the first welding risk as the second welding risk of the welding point; Based on the second welding risk, a warning notification is determined and sent to the gas construction object platform.

6. The system according to claim 5, characterized in that: The gas company management platform is further configured as follows: Obtain the designed delivery pressure; determining a welding risk threshold based on the designed delivery pressure; In response to the second welding risk being greater than the welding risk threshold, the early warning notification is generated and sent to the gas construction object platform.

7. The system according to claim 5, characterized in that: The gas company management platform is further configured as follows: Based on the second welding risk and the welding process information, determining a key inspection area and a common inspection area; In the welding inspection stage after welding is completed, generating the inspection equipment planning for the key inspection area and the general inspection area; Based on the detection equipment planning, at least one set of detection equipment matching and corresponding detection personnel information is generated and sent to the corresponding detection personnel terminal in the gas construction object platform. The detection personnel detect the gas pipeline after welding based on at least one set of detection equipment and determine the welding detection result.

8. The system according to claim 7, characterized in that: The gas company management platform is further configured as follows: Based on the welding detection results, the pipeline hazard level of the preset pipeline area is determined, and the pipeline hazard level is stored in the government supervision comprehensive database.

Images