Oil and gas pipeline monitoring system and method based on internet of things, electronic device and medium

Abstract

The application discloses an oil and gas pipeline monitoring system and method based on the Internet of Things, an electronic device and a medium, and relates to the technical field of oil and gas pipeline monitoring. The system comprises a data acquisition module, a pipeline monitoring server, a client, a temperature adjusting unit and a welding parameter adjusting unit; the data acquisition module is connected with the pipeline monitoring server; the pipeline monitoring server is connected with the client, the temperature adjusting unit and the welding parameter adjusting unit respectively. The problems that relevant data in the welding process cannot be monitored in real time, work parameters cannot be adjusted in a targeted manner, and the welding quality is poor still exist.

Description

Technical Field

[0001] This invention relates to the field of oil and gas pipeline monitoring technology, and in particular to an oil and gas pipeline monitoring system, method, electronic device and medium based on the Internet of Things. Background Technology

[0002] During pipeline construction, construction defects often occur, causing the pipeline quality to fail to meet requirements. In severe cases, this can lead to pipeline leaks. Current technologies typically involve assigning personnel to conduct on-site inspections and promptly address any leaks. However, these methods cannot monitor welding process data in real time or make targeted adjustments to working parameters, resulting in persistent issues with poor welding quality. Summary of the Invention

[0003] To overcome the problem of poor welding quality due to the inability to monitor welding process data in real time and the inability to make targeted adjustments to working parameters, this invention provides an Internet of Things-based oil and gas pipeline monitoring system, method, electronic equipment, and medium.

[0004] In a first aspect, in order to solve the above-mentioned technical problems, the present invention provides an oil and gas pipeline monitoring system based on the Internet of Things, including a data acquisition module, a pipeline monitoring server, a client, a temperature regulation unit, and a welding parameter regulation unit;

[0005] The data acquisition module is connected to the pipeline monitoring server, which in turn is connected to the client, the temperature control unit, and the welding parameter control unit.

[0006] The data acquisition module is used to collect the ambient temperature at the location of the oil and gas pipeline during the welding process, as well as the actual welding parameters of the welding machine, and to upload the ambient temperature and the actual welding parameters to the pipeline monitoring server.

[0007] The pipeline monitoring server is used to compare the ambient temperature with a preset temperature range to determine a first result, which is whether the preset temperature range is met or not. Alternatively, it can compare each actual welding parameter with the corresponding preset standard working parameter to determine a second result, which is whether the standard working parameter is met or not.

[0008] If the first result meets the preset temperature range or each second result meets the corresponding standard working parameters, then send an instruction message to the client to start welding and transmit working instructions to the control module.

[0009] The control module is used to control the preheating device to preheat the oil and gas pipeline and the area around it through the temperature adjustment unit if the first result does not meet the preset temperature range, until the temperature of the oil and gas pipeline reaches the preset temperature range; and for each second result, if the second result does not meet the standard working parameters, the welding parameter adjustment unit adjusts the welding machine parameters corresponding to the second result to the corresponding standard working parameters.

[0010] Secondly, the present invention provides an Internet of Things-based method for monitoring oil and gas pipelines, the method comprising:

[0011] The system collects the ambient temperature at the location of the oil and gas pipeline during the welding process, as well as various actual welding parameters of the welding machine, and uploads the ambient temperature and various actual welding parameters to the pipeline monitoring server.

[0012] The first result is determined by comparing the ambient temperature with the preset temperature range, which is either meeting or not meeting the preset temperature range. Alternatively, the second result is determined by comparing each actual welding parameter with the corresponding preset standard working parameter, which is either meeting or not meeting the standard working parameter.

[0013] If the first result meets the preset temperature range or each second result meets the corresponding standard working parameters, then send an instruction message to the client to start welding and transmit working instructions to the control module.

[0014] If the first result does not meet the preset temperature range, the temperature adjustment unit controls the preheating device to preheat the oil and gas pipeline and the area around it until the temperature of the oil and gas pipeline reaches the preset temperature range; and for each second result, if the second result does not meet the standard working parameters, the welding parameter adjustment unit adjusts the welding machine parameters corresponding to the second result to the corresponding standard working parameters.

[0015] Thirdly, the present invention also provides an electronic device, including a memory, a processor, and a program stored in the memory and running on the processor, wherein the processor executes the program to implement the steps of the Internet of Things-based oil and gas pipeline monitoring method described above.

[0016] Fourthly, the present invention also provides a computer-readable storage medium storing instructions that, when executed on a terminal electronic device, cause the terminal electronic device to perform the steps of an Internet of Things-based oil and gas pipeline monitoring method.

[0017] The beneficial effects of the IoT-based oil and gas pipeline monitoring system provided by this invention are as follows: The data acquisition module collects the ambient temperature and various actual welding parameters during the welding machine's operation in real time and uploads them to the pipeline monitoring server. The pipeline monitoring server compares the ambient temperature with a preset temperature range and the actual welding parameters with preset standard working parameters to obtain a first result and a second result. If the first result meets the preset temperature range or each second result meets the corresponding standard working parameter, it indicates that the welding requirements are met, and an instruction to start welding is sent to the client. If the first result does not meet the preset temperature range or the second result does not meet the standard working parameters, the controller needs to adjust the welding machine parameters or the ambient temperature through a temperature adjustment unit or a welding parameter adjustment unit to ensure the welding process meets the requirements and guarantees welding quality. This solves the problem of poor welding quality due to the inability to monitor welding process data in real time and the inability to make targeted adjustments to working parameters. Attached Figure Description

[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0019] Figure 1 This is a schematic diagram of the structure of an Internet of Things-based oil and gas pipeline monitoring system according to an embodiment of the present invention;

[0020] Figure 2 This is a flowchart illustrating the IoT-based oil and gas pipeline monitoring method according to an embodiment of the present invention. Detailed Implementation

[0021] The following embodiments are further explanations and supplements to the present invention and do not constitute any limitation on the present invention.

[0022] The following describes, with reference to the accompanying drawings, an IoT-based oil and gas pipeline monitoring system, method, electronic device, and medium according to embodiments of the present invention.

[0023] like Figure 1 As shown, this embodiment of the invention provides an Internet of Things-based oil and gas pipeline monitoring system, including a data acquisition module, a pipeline monitoring server, a client, and a control module. The control module includes a temperature adjustment unit and a welding parameter adjustment unit.

[0024] The data acquisition module is connected to the pipeline monitoring server, which in turn is connected to both the client and the control module.

[0025] The data acquisition module is used to collect the ambient temperature at the location of the oil and gas pipeline during the welding process, as well as the actual welding parameters of the welding machine, and to upload the ambient temperature and the actual welding parameters to the pipeline monitoring server.

[0026] The pipeline monitoring server is used to compare the ambient temperature with a preset temperature range to determine a first result, which is either meeting or not meeting the preset temperature range. Alternatively, it can compare each actual welding parameter with the corresponding preset standard working parameter to determine a second result, which is either meeting or not meeting the standard working parameter.

[0027] If the first result meets the preset temperature range or each second result meets the corresponding standard working parameters, then an instruction message to start welding is sent to the client, and a working command is transmitted to the control module.

[0028] The control module is used to control the preheating device to preheat the oil and gas pipeline and the area around it through the temperature adjustment unit if the first result does not meet the preset temperature range, until the temperature of the oil and gas pipeline reaches the preset temperature range; and for each second result, if the second result does not meet the standard working parameters, the welding parameter adjustment unit adjusts the welding machine parameters corresponding to the second result to the corresponding standard working parameters.

[0029] In this embodiment, the data acquisition module collects the ambient temperature and various actual welding parameters during the welding machine's operation in real time and uploads them to the pipeline monitoring server. The pipeline monitoring server compares the ambient temperature with a preset temperature range and the actual welding parameters with preset standard working parameters to obtain a first result and a second result. If the first result meets the preset temperature range or each second result meets the corresponding standard working parameter, it indicates that the welding requirements are met, and an instruction to start welding is sent to the client. If the first result does not meet the preset temperature range or the second result does not meet the standard working parameters, the controller needs to control the temperature adjustment unit or the welding parameter adjustment unit to adjust the parameters of the welding machine or the ambient temperature to ensure that the welding process meets the requirements and guarantees welding quality. This solves the problem of poor welding quality that still exists because it is impossible to monitor the relevant data of the welding process in real time and to make targeted adjustments to the working parameters.

[0030] Optionally, the pipeline monitoring server is specifically used for: if the ambient temperature is within the preset temperature range, the first result is that the preset temperature range is met; if the ambient temperature is not within the preset temperature range, the first result is that the preset temperature range is not met; for each actual welding parameter, if the actual welding parameter is consistent with the corresponding preset standard working parameter, the second result is that the standard working parameter is met; if the actual welding parameter is inconsistent with the corresponding preset standard working parameter, the second result is that the standard working parameter is met.

[0031] For example, before welding, the data acquisition device receives an information acquisition command from the pipeline monitoring server, acquires the ambient temperature T1 at the location of the pre-laid oil and gas pipeline, and transmits the acquired T1 to the pipeline monitoring server. The pipeline monitoring server compares the received ambient temperature T1 with a preset temperature range T0 (e.g., -20℃ to 80℃). If T1 is within the preset temperature range T0, the pipeline monitoring server transmits a working command to the control module and sends an instruction message to the client to start welding, allowing the workers to begin welding. If T1 is not within the preset temperature range T0, a temperature adjustment command is sent to the temperature adjustment unit. Upon receiving the temperature adjustment command, the temperature adjustment unit controls the preheating device to preheat the oil and gas pipeline and its surroundings until the ambient temperature T1 reaches the preset temperature range T0. The pipeline monitoring server then transmits the corresponding working command to the client, allowing the workers to begin welding using the welding machine.

[0032] For example, taking a welding machine A in a certain work area O as an example, the data acquisition module obtains the actual welding parameters of the welding machine during the welding process. The actual welding parameters include the actual working current, actual working voltage, actual welding temperature, actual welding thickness, and actual number of welding layers. The data acquisition module then transmits the received actual welding parameters to the pipeline monitoring server. The pipeline monitoring server also pre-stores the standard working parameters of the welding machine in various work areas. Based on the work area O where welding machine A is located, the standard working parameters corresponding to work area O are found from the server. The standard working parameters also include: standard working voltage, standard working current, standard welding thickness, and standard number of welding layers. By comparing the actual welding parameters with the standard working parameters, if they are consistent, it is determined that the standard working parameters are met; if they are inconsistent, it is determined that the standard working parameters are not met.

[0033] Optionally, the pipeline monitoring server is also used for:

[0034] During the welding process, the working temperature of the oil and gas pipeline is collected in real time. If the working temperature is not within the preset temperature range, the preheating device is controlled by the temperature regulation unit to preheat the oil and gas pipeline and its surroundings until the working temperature reaches the preset temperature range.

[0035] For example, during the welding process, the control module 3 also needs to control the temperature regulation unit to continue heating the oil and gas pipeline, and obtain the ambient temperature T2 near the oil and gas pipeline in real time to ensure that the ambient temperature T2 is also within the preset temperature range T0, and to ensure that the welding process temperature can also meet the preset conditions.

[0036] Optionally, the pipeline monitoring server is also used to: acquire the welding machine's historical operating parameters for each historical time period, and the historical welding quality inspection results corresponding to each historical operating parameter in each historical time period, including welding quality meeting standards and welding quality not meeting standards; if the historical welding quality inspection result is welding quality meeting standards, then the historical operating parameter is taken as the normal historical operating parameter; and all normal historical operating parameters corresponding to each historical operating parameter are taken as standard values ​​to determine the preset standard operating parameter corresponding to each historical operating parameter.

[0037] For example, in the first time period T0-T1, the historical working parameter a corresponds to the value a1, the historical working parameter b corresponds to the value b1, ..., the historical working parameter n corresponds to the value n1. In the second time period T1-T2, the historical working parameter a corresponds to the value a2, the historical working parameter b corresponds to the value b2, ..., the historical working parameter n corresponds to the value n2, and so on. In the nth time period Tn-1-Tn, the historical working parameter a corresponds to the value n1, the historical working parameter b corresponds to the value bn, ..., the historical working parameter n corresponds to the value nn. Then, based on a1, a2...an, the standard value corresponding to the historical working parameter a is calculated, and so on, the standard value corresponding to parameter b...the standard value corresponding to parameter n is calculated. Combining these, the preset standard working parameter corresponding to each historical working parameter in the working area is obtained.

[0038] Optionally, the actual welding parameters include the actual operating voltage, actual operating current, actual weld thickness, and actual number of weld layers. The pipeline monitoring server is also used to: send a first warning message to the client if the actual operating voltage and / or actual operating current does not meet the corresponding standard operating parameters; send a second warning message to the client if the ambient temperature does not meet the preset temperature range; send a third warning message to the client if the actual weld thickness does not meet the corresponding standard operating parameters; and send a fourth warning message to the client if the actual number of weld layers does not meet the corresponding standard operating parameters. The first, second, third, and fourth warning messages are different indication signals used to assist operators in intuitively identifying non-compliant parameter items and making adjustments as soon as possible. The warning messages are issued in the following ways: sound / vibration alerts and direct SMS reminders.

[0039] The monitoring process involves first detecting whether the first warning message is triggered. If the actual operating voltage and / or actual operating current meet the corresponding standard operating parameters, then the second warning message is detected. If the actual operating voltage and / or actual operating current do not meet the corresponding standard operating parameters, then the first warning message is triggered. After the actual operating voltage and / or actual operating current are adjusted to meet the corresponding standard operating parameters, the second warning message is detected again. This process continues until all monitoring is completed, constituting one round of monitoring. After completing one round of monitoring with the first, second, third, and fourth warning messages, one or more warning messages are sent simultaneously.

[0040] For example, taking the actual working voltage as an example, to determine whether the actual working voltage is within the range of the standard working voltage, the actual working current, actual ambient temperature, etc., are compared with the standard working current and standard welding temperature in sequence. If one or more of them are found to be non-compliant, a parameter adjustment command is sent to the control module and then sent to the welding operator. After receiving the parameter adjustment command, the welding operator adjusts a certain parameter in the welding process according to the requirements in the parameter adjustment command to ensure that the actual working parameters of the welding machine are always within the range of the standard working parameters (or it can be adjusted through the temperature adjustment unit and welding parameter adjustment unit in the control module).

[0041] In the camera system, multiple cameras are set up for the same weld seam. These cameras capture still images in staggered time intervals (for example, within five seconds, camera A captures first in the first second, and camera B captures second in the third second). The captured images are temporarily stored in a storage device (a sub-functional area of ​​the pipeline monitoring server). Based on the changes in the images over a period of time t, the weld thickness and number of weld layers at the weld point are determined. If the weld thickness and / or number of weld layers at a certain weld point are detected to be lower than the corresponding standard operating parameters, a third and / or fourth warning message is sent. It can be understood that the standard operating parameters are numerical values. If the values ​​are higher than the standard operating parameters, it means that the parameters do not meet the standards. To help operators more accurately determine the current status, taking the number of weld layers not meeting the standards as an example, if the number of weld layers is lower than the standard operating parameters, a fourth warning message (A) is sent; if the number of weld layers is higher than the standard operating parameters, a fourth warning message (B) is sent. This allows users to directly judge the actual situation and make adjustments.

[0042] Optionally, the pipeline monitoring server is also used to: determine a three-dimensional pipeline model through 3D modeling based on images captured by the camera device, and send the three-dimensional pipeline model to the client.

[0043] Regarding the construction of three-dimensional models, for example, the camera device in the information acquisition module mentioned above can roughly estimate the laying length of oil and gas pipelines by comparing images from multiple angles and using functional relationships, thereby constructing three-dimensional models through 3D modeling.

[0044] Alternatively, when welding in a low-temperature environment, if the weld joint cools rapidly, the cooling time will be reduced, and more hydrogen will remain in the weld, which may delay the formation of cracks. Therefore, after welding, a slow cooling treatment should be performed. For example, the weld joint can be covered with an insulating blanket, or a temperature adjustment command can be sent to the control module to allow the temperature adjustment unit to continue heating the oil and gas pipeline. At this time, the temperature should also be monitored in real time and controlled within a suitable range to achieve a slow cooling process. During this process, it is strictly forbidden to directly expose the weld joint to low temperatures to prevent cold condensation and affect the welding quality.

[0045] Specific measures to prevent delayed crack formation include:

[0046] 1. Diffused hydrogen

[0047] Diffusible hydrogen in weld metal mainly originates from the dissolution of hydrogen in the molten pool during the welding process. As the molten pool solidifies, the solubility of hydrogen decreases rapidly, causing dissolved hydrogen to precipitate from the molten pool as hydrogen gas. However, not all hydrogen can precipitate as gas; the remaining hydrogen at the weld bead remains as free hydrogen in the weld metal, forming diffusible hydrogen. There are two main ways to reduce diffusible hydrogen in weld metal: controlling the source of hydrogen and increasing the rate of hydrogen diffusion out of the metal.

[0048] a. Controlling the source of hydrogen

[0049] The primary source of hydrogen during welding is the thermal decomposition of water (H2O). Under the high temperature of the welding arc, H2O decomposes into free hydrogen (H), which dissolves in the molten pool to form dissolved H. Sources of water include damp welding rods and wires, rust at pipe openings, frost, snow, or moisture at pipe openings, oil, paint, and other organic matter at pipe openings, and excessive air humidity. Therefore, the main measures to control hydrogen sources can be summarized as follows: First, drying of welding materials, including the drying and storage of dried materials, especially for highly hygroscopic low-hydrogen welding rods; second, cleaning of pipe openings, requiring thorough cleaning of pipe openings before welding to ensure that the weld joint and surrounding area are free of frost, snow, oil, rust, and moisture; and third, welding operations must not be carried out on rainy days without appropriate protective measures.

[0050] b. Enhance the diffusion of chlorine out of the metal.

[0051] Chlorine present in the weld metal will spontaneously diffuse out of the metal. The diffusion rate of hydrogen increases with increasing temperature. Therefore, increasing the diffusion of hydrogen out of the metal means prolonging the residence time of the weld metal in the higher temperature range (the high temperature here should not cause additional phase structure changes in the metal). When the welding voltage and current are constant, preheating before welding, slow cooling after welding, and hydrogen removal heat treatment can reduce the cooling rate of the weld joint and prolong the high temperature residence time.

[0052] Preheating before welding: In addition to drying the weld joint, preheating before welding can also reduce the temperature difference between the welding environment and the weld bead, thereby slowing down the cooling rate of the weld bead.

[0053] Post-weld slow cooling: Post-weld slow cooling mainly involves applying heat-free insulation measures to the weld after welding. In pipeline construction, insulation blankets (slow cooling blankets) are mainly used.

[0054] Hydrogen removal heat treatment: Hydrogen removal heat treatment is a process in which the weld bead is heated after the welding operation, so that the hydrogen in the weld can be rapidly diffused to the outside. The main heating methods include heating furnace, medium frequency heating, and flame heating.

[0055] 2. Produces hard tissue

[0056] The formation of hardened structures is mainly due to an excessively short t8 / 5 (the time it takes to cool from 800℃ to 500℃, which determines the room temperature microstructure of the weld joint), leading to the transformation of austenite into martensite or upper bainite. Factors determining the length of t8 / 5 include welding preheating and welding heat input. Welding preheating increases the temperature of the base metal and reduces the cooling rate of the weld after solidification; the magnitude of the welding heat input determines the temperature of the weld bead after welding. Therefore, to avoid or minimize hardened structures, preheating should be performed before welding, and welding heat input should be controlled. Short-duration spot welding should be avoided as much as possible when the base metal temperature is low.

[0057] Larger welding heat input than the outside can also cause the temperature of the heat-affected zone to be too high, resulting in hardened structure. During the welding process, it is also necessary to avoid applying large heat input to a local area in a short period of time. In actual operation, multi-layer and multi-pass welding is recommended.

[0058] 3. Reduce welding stress and stress concentration

[0059] Welding stress mainly originates from internal welding stress generated during the welding process and external stress generated during pipeline installation and use. Stress is a direct cause of delayed crack initiation. Additionally, the irregular shape of the weld joint can lead to stress concentration; when the applied stress exceeds the material's strength, cracks will form.

[0060] Internal stress: Internal stress originates from the shrinkage stress after the weld has solidified. Reducing weld shrinkage stress is mainly achieved by reducing welding restraints, allowing the weld to shrink freely. In actual pipeline installation, free shrinkage is not always possible in many areas. In such cases, a reasonable welding sequence must be adopted to avoid the earlier welds causing excessive restraint on subsequent welds. During rework, the length of the grinding and puncturing should reach a certain length to increase the shrinkage space of the weld.

[0061] External stress: During pipeline installation, external stress is inevitably introduced due to the self-weight of the steel pipes, the hoisting and assembly of the pipes, the stacking of supporting soil, etc. Reasonable measures should be taken during pipeline installation to reduce the introduction of external stress. For example, a small soil mound can be pre-built during the pipe butt joint process, and a complete soil mound can be built after welding to avoid leaving the hoisted steel pipes suspended in the air after welding. Precise use of elbows and bends is also crucial to avoid unwanted elastic laying due to improper angles.

[0062] Stress concentration: Stress concentration is mainly caused by abrupt changes in the cross-section of a stressed component. Stress concentration can cause material failure under relatively small stresses, which is more pronounced in low-toughness materials. The degree of stress concentration is determined by the stress concentration factor. The smaller the transition angle of the cross-section, the larger the stress concentration factor; conversely, the smaller the transition angle, the smaller the stress concentration factor. That is, sharp corner transitions have a larger stress concentration factor than rounded corner transitions.

[0063] Welds in pipelines have relatively poor ductility and toughness compared to the base material, and also exhibit abrupt changes in cross-section, making them key areas for stress concentration and failure. Therefore, during welding, care should be taken to use rounded corners instead of sharp corners where possible, smooth transitions instead of rounded corners, and to avoid causing abrupt changes in cross-section whenever possible.

[0064] For example, the transition between the weld and the base material should be smooth, the weld reinforcement should not be too high, the weld should not be lower than the base material, the weld width should be kept as consistent as possible, and after repairing a local weld, it should be ground to the same height and shape as the original weld.

[0065] like Figure 2 As shown, this embodiment of the invention also provides an Internet of Things-based oil and gas pipeline monitoring method, including the following steps:

[0066] S1. Collect the ambient temperature of the oil and gas pipeline location during the welding process, as well as the actual welding parameters of the welding machine, and upload the ambient temperature and the actual welding parameters to the pipeline monitoring server.

[0067] S2. By comparing the ambient temperature with the preset temperature range, a first result is determined, which is either meeting or not meeting the preset temperature range. Alternatively, by comparing each actual welding parameter with the corresponding preset standard working parameter, a second result is determined, which is either meeting or not meeting the standard working parameter.

[0068] S3. If the first result meets the preset temperature range or each second result meets the corresponding standard working parameters, then send an instruction message to the client to start welding work and transmit working instructions to the control module.

[0069] S4. If the first result does not meet the preset temperature range, the preheating device is controlled by the temperature adjustment unit to preheat the oil and gas pipeline and the area around the oil and gas pipeline until the temperature of the oil and gas pipeline reaches the preset temperature range; and for each second result, if the second result does not meet the standard working parameters, the welding machine parameters corresponding to the second result are adjusted to the corresponding standard working parameters by the welding parameter adjustment unit.

[0070] Optionally, a first result is determined by comparing the ambient temperature with a preset temperature range, where the first result is either meeting or not meeting the preset temperature range. Alternatively, a second result is determined by comparing each actual welding parameter with its corresponding preset standard working parameter, where the second result is either meeting or not meeting the standard working parameter, including:

[0071] If the ambient temperature is within the preset temperature range, the first result is that the preset temperature range is met; if the ambient temperature is not within the preset temperature range, the first result is that the preset temperature range is not met.

[0072] For each actual welding parameter, if the actual welding parameter is consistent with the corresponding preset standard working parameter, the second result is that the standard working parameter is met; if the actual welding parameter is inconsistent with the corresponding preset standard working parameter, the second result is that the standard working parameter is met.

[0073] Optionally, the method further includes:

[0074] During the welding process, the working temperature of the oil and gas pipeline is collected in real time. If the working temperature is not within the preset temperature range, the preheating device is controlled by the temperature regulation unit to preheat the oil and gas pipeline and its surroundings until the working temperature reaches the preset temperature range.

[0075] Optionally, the method further includes:

[0076] Acquire the historical working parameters of the welding machine for each historical time period, and the historical welding quality inspection results for each historical working parameter in each historical time period. The historical welding quality inspection results include welding quality that meets the standards and welding quality that does not meet the standards.

[0077] If the historical welding quality inspection results show that the welding quality meets the standards, then the historical working parameters will be used as normal historical working parameters.

[0078] Take the standard values ​​of all normal historical working parameters corresponding to each historical working parameter, and determine the preset standard working parameter corresponding to each historical working parameter.

[0079] Optionally, if the actual welding parameters include the actual operating voltage, actual operating current, actual welding thickness, and actual number of welding layers, then the method further includes:

[0080] If the actual operating voltage and / or actual operating current do not meet the corresponding standard operating parameters, a first warning message will be sent to the client.

[0081] If the ambient temperature does not meet the preset temperature range, a second warning message will be sent to the client.

[0082] If the actual welding thickness does not meet the corresponding standard working parameters, a third warning message will be sent to the client.

[0083] If the actual number of welding layers does not meet the corresponding standard working parameters, a fourth warning message will be sent to the client.

[0084] Optionally, the method further includes:

[0085] Based on the images captured by the camera device, a three-dimensional pipeline model is determined through 3D modeling, and then the three-dimensional pipeline model is sent to the client.

[0086] An electronic device according to an embodiment of the present invention includes a memory, a processor, and a program stored in the memory and running on the processor. When the processor executes the program, it implements some or all of the steps of the above-described Internet of Things-based oil and gas pipeline monitoring method.

[0087] The electronic device can be a computer, and its program is computer software. The parameters and steps of the electronic device of the present invention can be referred to the parameters and steps in the embodiment of the Internet of Things-based oil and gas pipeline monitoring method above, and will not be repeated here.

[0088] Those skilled in the art will recognize that this invention can be implemented as a system, method, or computer program product. Therefore, this disclosure can be embodied in the following forms: it can be entirely hardware, entirely software (including firmware, resident software, microcode, etc.), or a combination of hardware and software, generally referred to herein as a "circuit," "module," or "system." Furthermore, in some embodiments, the invention can also be implemented as a computer program product contained in one or more computer-readable media, which contains computer-readable program code. Computer-readable storage media can be, for example, but not limited to—electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatuses, or devices, or any combination thereof.

[0089] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0090] Although embodiments of the present invention have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those skilled in the art can make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention.

Claims

1. An oil and gas pipeline monitoring system based on the Internet of Things, characterized in that, It includes a data acquisition module, a pipeline monitoring server, a client, and a control module. The control module includes a temperature adjustment unit and a welding parameter adjustment unit. The data acquisition module is connected to the pipeline monitoring server, and the pipeline monitoring server is connected to both the client and the control module. The data acquisition module is used to collect the ambient temperature at the location of the oil and gas pipeline during the welding process, as well as the actual welding parameters of the welding machine, and to upload the ambient temperature and the actual welding parameters to the pipeline monitoring server. The pipeline monitoring server is used to compare the ambient temperature with a preset temperature range to determine a first result, which is either meeting or not meeting the preset temperature range; or to compare each actual welding parameter with the corresponding preset standard working parameter to determine a second result, which is either meeting or not meeting the standard working parameter. If the first result is meeting the preset temperature range, an instruction message to start welding is sent to the client, and a working command is transmitted to the control module. The control module is used to control the preheating device to preheat the oil and gas pipeline and the surrounding area of ​​the oil and gas pipeline through the temperature adjustment unit if the first result does not meet the preset temperature range, until the temperature of the oil and gas pipeline reaches the preset temperature range; and for each second result, if the second result does not meet the standard working parameters, the welding parameter adjustment unit adjusts the welding machine parameters corresponding to the second result to the corresponding standard working parameters. The pipeline monitoring server is specifically configured to: if the ambient temperature is within a preset temperature range, the first result is "meeting the preset temperature range"; if the ambient temperature is not within the preset temperature range, the first result is "not meeting the preset temperature range"; for each actual welding parameter, if the actual welding parameter is consistent with the corresponding preset standard working parameter, the second result is "meeting the standard working parameter"; if the actual welding parameter is inconsistent with the corresponding preset standard working parameter, the second result is "meeting the standard working parameter".

2. The system according to claim 1, characterized in that, The pipeline monitoring server is also used for: If the working temperature of the oil and gas pipeline is not within the preset temperature range when it is collected in real time during the welding process, the preheating device is controlled by the temperature regulation unit to preheat the oil and gas pipeline and the surrounding area until the working temperature reaches the preset temperature range.

3. The system according to claim 1, characterized in that, The pipeline monitoring server is also used for: For each historical working parameter of the welding machine in each historical time period, and the historical welding quality detection result corresponding to each historical working parameter in each historical time period, the historical welding quality detection result includes welding quality meeting the standard and welding quality not meeting the standard. If the historical welding quality test results show that the welding quality meets the standards, then the historical working parameters will be used as normal historical working parameters. Take the standard values ​​of all normal historical working parameters corresponding to each historical working parameter, and determine the preset standard working parameter corresponding to each historical working parameter.

4. The system according to claim 2, characterized in that, The actual welding parameters include the actual working voltage, actual working current, actual welding thickness, and actual number of welding layers; The pipeline monitoring server is also used for: If the actual operating voltage and / or actual operating current do not meet the corresponding standard operating parameters, a first warning message will be sent to the client. If the ambient temperature does not meet the preset temperature range, a second warning message is sent to the client. If the actual welding thickness does not meet the corresponding standard working parameters, a third warning message will be sent to the client. If the actual number of welding layers does not meet the corresponding standard working parameters, a fourth warning message will be sent to the client.

5. The system according to claim 4, characterized in that, The data acquisition module includes a voltage acquisition device, a current acquisition device, a temperature sensor, and a camera device, and the pipeline monitoring server is connected to the voltage acquisition device, the current acquisition device, the temperature sensor, and the camera device respectively; The current acquisition device is used to acquire the actual working current of the welding machine at every moment during the working process; The voltage acquisition device is used to acquire the actual operating voltage of the welding machine at every moment during the working process; The temperature sensor is used to collect the ambient temperature and the operating temperature; The camera device is used to capture images during the welding process and to use image processing technology to obtain the actual welding thickness and the actual number of welding layers at the welding point.

6. The system according to claim 5, characterized in that, The pipeline monitoring server is also used for: Based on the images captured by the camera device, a three-dimensional pipeline model is determined through 3D modeling, and the three-dimensional pipeline model is sent to the client.

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