Method and system for detecting and alarming leakage of long-distance natural gas pipeline

Abstract

The application discloses a natural gas long-distance pipeline leakage detection alarm method and system, relates to the technical field of pipeline detection and alarm, and predicts whether a natural gas pipeline will leak in the future after a comprehensive analysis of multi-source data by an analysis module, identifies the urgency of the leakage, automatically adjusts the natural gas delivery amount of the natural gas pipeline when the future leakage of the natural gas pipeline is identified as moderate, sends an emergency instruction to a control module when the future leakage of the natural gas pipeline is identified as urgent, and automatically controls a natural gas valve to close and stops natural gas delivery after the control module receives the emergency instruction. The alarm system effectively predicts the leakage of the natural gas pipeline, and selects to adjust the natural gas delivery amount or control to stop the natural gas delivery according to the prediction result, thereby not only ensuring the safe use of the natural gas pipeline, but also effectively reducing the loss of the enterprise through early control.

Description

Technical Field

[0001] This invention relates to the field of pipeline detection and alarm technology, specifically to a method and system for detecting and alarming leaks in long-distance natural gas pipelines. Background Technology

[0002] Natural gas is an important energy resource, widely used for heating, power generation, industrial production and domestic use. In order to meet energy demand, natural gas usually needs to be transported from the production site to the consumption site, which requires the construction of large-scale long-distance pipeline systems. These pipeline systems can span hundreds or even thousands of kilometers, crossing different geographical conditions and terrains.

[0003] Natural gas pipeline leaks can cause serious safety problems and environmental impacts. The causes of leaks can include pipeline damage, corrosion, operational errors, or severe weather conditions. Leaked natural gas is a flammable gas that can easily cause fires and explosions. In addition, leaked natural gas can also pollute the environment, affecting the surrounding soil and water bodies.

[0004] The existing technology has the following shortcomings:

[0005] Existing alarm systems typically alert the gas delivery center after detecting a natural gas pipeline leak, which then cuts off the gas supply and repairs the pipeline. However, alarm systems do not provide predictive handling for natural gas pipeline leaks. In practical applications, when natural gas is used for industrial production (such as steel production, glass manufacturing, ceramics production, and chemical engineering), cutting off the gas supply can lead to production interruptions, potentially causing a decline in product quality or increased resource waste. Summary of the Invention

[0006] The purpose of this invention is to provide a method and system for detecting and alarming leaks in long-distance natural gas pipelines, in order to address the shortcomings in the prior art.

[0007] To achieve the above objectives, the present invention provides the following technical solution: a natural gas long-distance pipeline leakage detection and alarm system, comprising a data acquisition module, a transmission module, an analysis module, an identification module, an adjustment module, an alarm module, a control module, and a recording module;

[0008] Acquisition module: Used to monitor multi-source data from natural gas pipelines;

[0009] Transmission module: Collects multi-source data from the acquisition module and preprocesses the multi-source data;

[0010] Analysis module: After comprehensive analysis of multi-source data, it predicts whether there will be any leakage of natural gas transported through natural gas pipelines in the future;

[0011] Identification module: Uses prediction results to identify whether there will be a leak in the natural gas pipeline in the future. If a leak is predicted, it identifies the urgency of the leak.

[0012] Regulation module: When it is detected that the future leakage of natural gas pipeline has been mitigated, the natural gas delivery rate of the natural gas pipeline is automatically adjusted;

[0013] Alarm module: When an emergency leak in a natural gas pipeline is detected, it sends an emergency command to the control module;

[0014] Control module: Upon receiving an emergency command, it automatically closes the natural gas valve and stops the natural gas supply;

[0015] Recording module: Stores multi-source data, natural gas delivery volume adjustment information, and natural gas valve control information.

[0016] Preferably, the analysis module performs comprehensive analysis on multi-source data, including natural gas concentration deviation index, pipeline vibration frequency, and pipeline damage degree.

[0017] Preferably, the analysis module calculates the pipeline coefficient gd by comprehensively calculating the natural gas concentration deviation index, pipeline vibration frequency, and pipeline damage degree. x The expression is:

[0018]

[0019] In the formula, CGI is the natural gas concentration deviation index, Hz is the pipeline vibration frequency, ps is the pipeline damage degree, and α, β, and γ are the proportional coefficients of the natural gas concentration deviation index, the pipeline vibration frequency, and the pipeline damage degree, respectively, and α, β, and γ are all greater than 0.

[0020] Preferably, the pipeline coefficient gd is obtained. x After the value is obtained, the analysis module will assign the pipeline coefficient gd. x The value is compared with the preset first warning threshold and second warning threshold, and the first warning threshold is less than the second warning threshold;

[0021] If the pipeline coefficient gd x Value > Second warning threshold or First warning threshold < Pipeline coefficient gd x If the value is less than or equal to the second warning threshold, the analysis module predicts that there may be a future leak of natural gas transported by the natural gas pipeline.

[0022] If the pipeline coefficient gd x If the value is less than or equal to the first warning threshold, the analysis module predicts that there will be no leakage of natural gas transported through the natural gas pipeline in the future.

[0023] Preferably, if the pipeline coefficient gd xIf the value is greater than the second warning threshold, it is predicted that there will be a future leak of natural gas transported by the natural gas pipeline, and the identification module identifies the future leak of natural gas pipeline as urgent.

[0024] If the first warning threshold is less than the pipeline coefficient gd x If the value is less than or equal to the second warning threshold, it is predicted that there will be a future leak in the natural gas pipeline. The identification module identifies when the future leak in the natural gas pipeline will be mitigated.

[0025] Preferably, when the future leakage of the natural gas pipeline is identified as mitigating, the adjustment module automatically adjusts the natural gas delivery rate of the natural gas pipeline, and the calculation expression is:

[0026]

[0027] In the formula, sl x For the adjusted natural gas delivery volume, sl c For the initial natural gas delivery volume, gd x For pipeline coefficients;

[0028] After obtaining the adjusted natural gas delivery volume, the gas delivery center controls the pipeline to deliver natural gas at the adjusted natural gas delivery volume;

[0029] When an emergency is detected in the natural gas pipeline, the alarm module sends an emergency command to the control module and an alarm signal to the administrator.

[0030] Preferably, the formula for calculating the natural gas concentration deviation index is:

[0031]

[0032] In the formula, CGI is the natural gas concentration deviation index, representing the natural gas concentration of different natural gas samples actually measured in the natural gas pipeline, Y i This is the standard natural gas concentration.

[0033] Preferably, the expression for calculating the pipe vibration frequency is:

[0034] Hz = 1 / fz;

[0035] In the formula, Hz is the pipe vibration frequency, and fz is the period of the vibration frequency identified from the spectrum.

[0036] Preferably, the formula for calculating the pipeline damage degree is:

[0037] ps = (m2 - m1) / m2;

[0038] In the formula, ps represents the pipeline damage degree, m2 represents the initial physical state of the pipeline, and m1 represents the currently monitored physical state.

[0039] This invention also provides a method for detecting and alarming leaks in long-distance natural gas pipelines, the alarm method comprising the following steps:

[0040] S1: Install sensors in the pipeline to monitor multi-source data and preprocess the multi-source data;

[0041] S2: After comprehensive analysis of multi-source data at the processing end, it is predicted whether there will be any leakage of natural gas transported through natural gas pipelines in the future;

[0042] S3: Use the prediction results to identify whether there will be future leaks in natural gas pipelines;

[0043] S4: If a natural gas pipeline leak is predicted to occur in the future, identify the urgency of the leak;

[0044] S5: When the future leakage of natural gas pipeline is detected to be mild, the natural gas supply of natural gas pipeline is automatically adjusted; when the future leakage of natural gas pipeline is detected to be urgent, the natural gas valve is automatically closed to stop the natural gas supply.

[0045] S6: The database stores multi-source data, natural gas delivery volume regulation information, and natural gas valve control information.

[0046] The technical effects and advantages provided by the present invention in the above technical solution are as follows:

[0047] This invention uses an analysis module to comprehensively analyze multi-source data to predict whether there will be future leaks in natural gas pipelines. An identification module uses the prediction results to identify the likelihood of future leaks. If a leak is predicted, the urgency of the leak is assessed. When the leak is deemed less serious, an adjustment module automatically adjusts the natural gas delivery rate. When the leak is deemed urgent, an alarm module sends an emergency command to the control module. Upon receiving the command, the control module automatically closes the natural gas valves, stopping the gas delivery. This alarm system effectively predicts natural gas pipeline leaks and, based on the prediction results, adjusts the gas delivery rate or stops the delivery altogether. This not only ensures the safe use of natural gas pipelines but also proactively mitigates losses for businesses. Attached Figure Description

[0048] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0049] Figure 1 This is a system module diagram of the present invention. Detailed Implementation

[0050] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0051] Example 1: Please refer to Figure 1 As shown, the natural gas long-distance pipeline leakage detection and alarm system described in this embodiment includes a data acquisition module, a transmission module, an analysis module, an identification module, an adjustment module, an alarm module, a control module, and a recording module.

[0052] Acquisition Module: Sensors installed on the pipeline monitor multi-source data, such as gas concentration, temperature, pressure, flow rate, vibration, etc. The sensors collect real-time multi-source data and transmit the multi-source data to the transmission module, including the following steps:

[0053] Sensor installation:

[0054] First, various sensors are installed in the pipeline system, each monitoring different parameters. For example, temperature sensors measure pipeline temperature, pressure sensors measure pipeline pressure, and gas concentration sensors measure the concentration of natural gas components, etc.

[0055] Data collection:

[0056] The sensor module acquires data from these sensors in real time. This typically involves continuous data sampling to obtain accurate parameter measurements. The sampling frequency can be adjusted as needed to ensure the timeliness and accuracy of the data.

[0057] Data processing:

[0058] Within the acquisition module, preliminary data processing can be performed, such as data filtering, calibration, and standardization. This helps improve data quality and ensures the reliability of sensor data.

[0059] Data transmission:

[0060] The acquisition module is responsible for transmitting the acquired data to the transmission module. Transmission can be carried out via wired or wireless communication, depending on the layout and requirements of the pipeline system.

[0061] Data Packaging and Labelling:

[0062] Before transmission, data is typically packaged into data packets and includes necessary identification information so that the receiving end can recognize and process the data. These identifiers may include sensor IDs, timestamps, etc.

[0063] Data security and integrity:

[0064] The data acquisition module may also be responsible for ensuring the security and integrity of the data. This can be achieved through methods such as encryption and checksums to prevent the data from being maliciously tampered with or corrupted.

[0065] The transmission module is responsible for collecting multi-source data from the acquisition module, preprocessing the data, and then transmitting it to the analysis and recording modules. The transmission module works closely with the acquisition module to ensure timely data delivery for further analysis and processing, including the following steps:

[0066] Data reception:

[0067] The transmission module first receives multi-source data from the acquisition module. This data includes parameters such as gas concentration, temperature, pressure, flow rate, and vibration monitored by different sensors.

[0068] Data buffering and preprocessing:

[0069] The transmission module can set up a data buffer to store received data, enabling transmission to resume in the event of any delays or interruptions. Additionally, the transmission module may perform simple data preprocessing, such as data compression or format conversion, to reduce the transmission overhead.

[0070] Data transmission protocol:

[0071] The transmission module sends data to the analysis and logging modules using an appropriate data transmission protocol. This can include common communication protocols such as TCP / IP or HTTP, or system-specific custom protocols.

[0072] Data distribution:

[0073] The transmission module is responsible for distributing data to the appropriate receivers, namely the analysis and recording modules. This may involve network routing and packet addressing to ensure that data reaches the correct destination.

[0074] Data security:

[0075] During transmission, the transmission module may also need to ensure data security. This includes data encryption and authentication to prevent unauthorized access or tampering of the data.

[0076] Data monitoring and error handling:

[0077] The transmission module needs to monitor the status and performance of data transmission. If transmission errors or interruptions occur, the transmission module should be able to detect them promptly and take corrective measures to ensure data integrity and timeliness.

[0078] Transmission Log:

[0079] To track the historical data transmission and performance, the transmission module typically generates a transmission log, which records information such as the time, destination, and amount of data transmitted.

[0080] Data storage and backup:

[0081] The data transmission module may also be responsible for backing up data to secure storage so that data can be recovered or reviewed when needed.

[0082] Analysis module: After comprehensive analysis of multi-source data, it predicts whether there will be any leakage of natural gas transported by natural gas pipelines in the future, and sends the prediction results to the identification module.

[0083] Identification module: Uses prediction results to identify whether there is a possibility of leakage in the natural gas pipeline in the future. If a leakage is predicted, the urgency of the leakage is identified, and the identification results are sent to the regulation module and the alarm module.

[0084] Adjustment module: When it is detected that the future leakage of natural gas pipeline will be mitigated, the natural gas delivery volume of natural gas pipeline will be automatically adjusted, and the adjustment information will be sent to the recording module.

[0085] Alarm module: When an emergency is detected in the natural gas pipeline, it sends an emergency command to the control module and an alarm signal to the administrator.

[0086] Control module: Upon receiving an emergency command, it automatically closes the natural gas valve, stops the natural gas supply, and sends control information to the recording module, including the following steps:

[0087] Received emergency instructions:

[0088] The control module first receives emergency instructions from the operator or system monitoring, which may be in response to a pipeline leak or other emergency.

[0089] Confirm the validity of the instruction:

[0090] Before executing instructions, the control module may need to verify the legality and authorization of the instructions to ensure that there is no misoperation or unauthorized control.

[0091] Close the natural gas valve:

[0092] The control module operates the natural gas valve on the pipeline according to an emergency command, closing it to stop the flow of natural gas. This may involve the actuator of the valve, such as an electric actuator, which is remotely controlled.

[0093] Stop natural gas delivery:

[0094] Once the natural gas valve is closed, the control module ensures that the pipeline system stops supplying natural gas. This includes stopping the operation of compressors, pumping stations, or other delivery equipment.

[0095] Send control information to the logging module:

[0096] The control module sends information about valve closure and natural gas supply stoppage to the recording module. This information may include details such as the time, location, and reason for valve closure, as well as the pipeline segment where supply was stopped.

[0097] System status monitoring:

[0098] After the valves are closed and the flow is stopped, the control module may continue to monitor the status of the piping system to ensure that no further problems or leaks occur.

[0099] Urgent Notice and Report:

[0100] The control module may automatically trigger notifications, sending reports to relevant operators, emergency response teams, and stakeholders to inform them of the pipeline's closure and cessation of delivery.

[0101] System recovery preparation:

[0102] Once the danger is under control, the control module may be ready to perform system recovery operations, including restarting natural gas delivery and restoring pipelines to normal operation.

[0103] Recording module: Responsible for storing multi-source data, natural gas delivery volume adjustment information, and natural gas valve control information. Administrators can query relevant information through the recording module, including the following steps:

[0104] Data reception and storage:

[0105] The recording module first receives multi-source data, natural gas delivery rate adjustment information, and natural gas valve control information from the transmission module. This data may include sensor data, control operation records, etc.

[0106] The recording module stores data in a secure database or data storage system to ensure data security and integrity.

[0107] Data indexing and identification:

[0108] The logging module typically indexes and identifies the stored data for later querying and retrieval. This may include timestamps, event types, and pipeline segment tags on the data.

[0109] Data query interface:

[0110] The logging module provides a query interface that allows administrators and authorized users to access stored data through query functions. This query interface is typically a graphical user interface (GUI) or a command-line interface.

[0111] Query function:

[0112] Administrators can use the query interface to perform various query operations, such as filtering data by time range, pipeline segment, event type, etc.

[0113] The logging module will respond to query requests, retrieve the relevant data, and present it to the administrator.

[0114] Data export and report generation:

[0115] The logging module typically also allows administrators to export queried data as reports or data files. These reports can be used to review, analyze, and report on system status and events.

[0116] Data backup and archiving:

[0117] To store and protect data long-term, the recording module may implement data backup and archiving strategies to prevent data loss or corruption.

[0118] Data access control:

[0119] Recording modules typically have data access control features to ensure that only authorized users can access and query specific data. This helps protect data security and privacy.

[0120] System maintenance and performance monitoring:

[0121] The logging module requires system maintenance, including data cleanup, storage capacity management, and performance monitoring, to ensure system reliability and performance.

[0122] This application uses an analysis module to comprehensively analyze multi-source data to predict whether there will be future leaks in natural gas pipelines. An identification module uses the prediction results to identify the likelihood of future leaks. If a leak is predicted, the module assesses its urgency. When the leak is deemed less serious, the adjustment module automatically adjusts the natural gas delivery rate. When an emergency leak is identified, the alarm module sends an emergency command to the control module. Upon receiving the command, the control module automatically closes the natural gas valves, stopping the gas delivery. This alarm system effectively predicts natural gas pipeline leaks and, based on the prediction results, adjusts the gas delivery rate or stops the delivery altogether. This not only ensures the safe use of natural gas pipelines but also proactively mitigates losses for businesses.

[0123] Example 2: After comprehensively analyzing multi-source data, the analysis module predicts whether there will be any leakage of natural gas transported through the natural gas pipeline in the future;

[0124] The analysis module performs comprehensive analysis on multi-source data, including natural gas concentration deviation index, pipeline vibration frequency, and pipeline damage degree.

[0125] The logic for obtaining the natural gas concentration deviation index is as follows:

[0126] Collect actual measured natural gas samples from natural gas pipelines;

[0127] Obtain concentration data of standard natural gas composition, which is usually based on international or national standards;

[0128] The formula for calculating the natural gas concentration deviation index is as follows:

[0129]

[0130] In the formula, CGI is the natural gas concentration deviation index, representing the natural gas concentration of different natural gas samples actually measured in the natural gas pipeline, Y i Standard natural gas concentration;

[0131] The larger the natural gas concentration deviation index value, the greater the risk of pipeline leakage.

[0132] The logic for obtaining the pipeline vibration frequency is as follows:

[0133] Install vibration sensors:

[0134] Install vibration sensors at appropriate locations on the pipeline; these sensors can be accelerometers or vibration sensors, used to measure the vibration of the pipeline.

[0135] Data acquisition: Using a data acquisition system, data generated by vibration sensors is acquired in real time; this can be continuously sampled vibration data.

[0136] Signal processing: The collected vibration data is processed to filter out noise and obtain the amplitude and frequency information of the vibration signal;

[0137] Frequency analysis: Using Fourier transform or other frequency analysis methods, the vibration signal is converted from the time domain to the frequency domain; this will produce the spectrum of the vibration signal.

[0138] Identify the dominant frequencies: In the frequency spectrum, vibration signals typically have one or more dominant frequency components; these frequency components correspond to the vibration modes of the pipe.

[0139] Vibration frequency calculation: Vibration frequency can usually be determined by identifying the main peaks in the spectrum; each main peak corresponds to a vibration frequency.

[0140] The expression for calculating the pipe vibration frequency is:

[0141] Hz = 1 / fz;

[0142] In the formula, Hz is the pipe vibration frequency, and fz is the period of the main vibration frequency identified from the spectrum, in seconds. The higher the pipe vibration frequency, the greater the risk of pipe leakage, as shown in the following way:

[0143] Pipe material fatigue: High vibration frequencies can lead to fatigue in pipe materials, especially when the vibration frequency is close to the pipe's natural frequency. This can cause cracks, deformation, or corrosion in the material, increasing the vulnerability of the pipe wall and raising the risk of leaks.

[0144] Weld fatigue: Under high vibration frequency, weld points and joints are also susceptible to fatigue, which increases the risk of leakage at welds and joints.

[0145] Physical damage caused by vibration: High vibration frequencies may cause physical damage to pipes and related equipment, such as loosening of pipe bolts and supports, which may lead to failure or leakage of pipe components.

[0146] Displacement of materials inside the pipeline: Strong vibrations can cause displacement of materials inside the pipeline, especially in curved or inclined sections. This can lead to redistribution of deposits or corrosion products inside the pipeline, increasing the risk of corrosion and erosion of the pipeline walls.

[0147] Damage to pipe supports and fixtures: High vibration frequencies can cause pipe supports and fixtures to loosen or become damaged, reducing the stability and integrity of the pipes and thus increasing the risk of leakage.

[0148] The logic for obtaining the pipeline damage level is as follows:

[0149] Install sensors: Install sensors at appropriate locations on the pipeline. These sensors can be strain gauges, stress sensors, corrosion monitoring sensors, etc., to monitor the physical condition of the pipeline.

[0150] Data acquisition: Using a data acquisition system, data generated by sensors is collected in real time; this data may include measurements of physical quantities such as stress, strain, deformation, and corrosion rate;

[0151] Signal processing: Performing signal processing on the acquired data to filter out noise and obtain accurate physical quantity data;

[0152] Calculating the degree of damage: Based on the monitored physical quantity data, the degree of damage to the pipeline can be calculated. The specific calculation method will depend on the monitored physical quantities and the characteristics of the pipeline material and structure. The expression is as follows:

[0153] ps = (m2 - m1) / m2;

[0154] In the formula, ps represents the pipe damage degree, m2 represents the initial physical state of the pipe, which can be the initial size, initial stress or other physical quantity, and m1 represents the currently monitored physical state, which can be the current size, stress or other physical quantity of the pipe.

[0155] The greater the degree of damage to the pipeline, the greater the risk of leakage, which manifests as follows:

[0156] Increased risk of leakage: As pipeline damage increases, the strength and integrity of the pipeline walls may be compromised, thereby increasing the risk of natural gas leakage;

[0157] Pipeline corrosion: The degree of pipeline damage may be related to the degree of corrosion; pipeline corrosion can lead to thinning of the pipe wall, thereby increasing the possibility of leakage;

[0158] Material fatigue: Frequent vibration, temperature changes, or high pressure in pipelines can lead to material fatigue, which increases the degree of pipeline damage and thus increases the risk of leakage.

[0159] Pipe cracks: High damage levels can cause cracks or fissures inside the pipe, which can widen and eventually lead to leaks;

[0160] Pipeline deformation: Increased pipe damage may lead to pipe deformation, which may affect the integrity of the pipeline and thus increase the risk of leakage;

[0161] Increased probability of failure: As the degree of pipeline damage increases, the probability of pipeline failure also increases, which means that the pipeline is more prone to failure and leakage.

[0162] Reduced operational safety: Pipelines with high failure rates may require more frequent maintenance and inspections to ensure safe operation, which increases operational costs and complexity.

[0163] The analysis module calculates the pipeline coefficient gd by comprehensively considering the natural gas concentration deviation index, pipeline vibration frequency, and pipeline damage degree. x The expression is:

[0164]

[0165] In the formula, CGI is the natural gas concentration deviation index, Hz is the pipeline vibration frequency, ps is the pipeline damage degree, and α, β, and γ are the proportional coefficients of the natural gas concentration deviation index, the pipeline vibration frequency, and the pipeline damage degree, respectively, and α, β, and γ are all greater than 0.

[0166] Obtain the pipeline coefficient gd x After setting the value, the pipeline coefficient gd x The value is compared with the preset first warning threshold and second warning threshold, and the first warning threshold is less than the second warning threshold;

[0167] If the pipeline coefficient gd x Value > Second warning threshold or First warning threshold < Pipeline coefficient gd x If the value is less than or equal to the second warning threshold, it is predicted that there may be a future leak of natural gas transported by the natural gas pipeline.

[0168] If the pipeline coefficient gd x If the value is less than or equal to the first warning threshold, it is predicted that there will be no leakage of natural gas transported through the natural gas pipeline in the future.

[0169] The identification module uses the prediction results to identify whether there is a possibility of leakage in the natural gas pipeline in the future. If a leakage is predicted, the urgency of the leakage is identified, and the identification results are sent to the regulation module and the alarm module.

[0170] If the pipeline coefficient gd x If the value is greater than the second warning threshold, it is predicted that there will be a future leak of natural gas transported by the natural gas pipeline, and the identification module identifies the future leak of natural gas pipeline as urgent.

[0171] If the first warning threshold is less than the pipeline coefficient gd x If the value is less than or equal to the second warning threshold, it is predicted that there will be a future leak of natural gas transported by the natural gas pipeline, and the identification module identifies the mitigation of the future leak in the natural gas pipeline.

[0172] When the future leakage in the natural gas pipeline is identified as mitigating, the regulation module automatically adjusts the natural gas delivery rate of the pipeline. The calculation expression is as follows:

[0173]

[0174] In the formula, sl x For the adjusted natural gas delivery volume, sl c For the initial natural gas delivery volume, gd x For pipeline coefficients;

[0175] After obtaining the adjusted natural gas delivery volume, the gas delivery center controls the pipeline to deliver natural gas at the adjusted natural gas delivery volume;

[0176] When the first warning threshold is less than the pipeline coefficient gd x When the value is less than or equal to the second warning threshold, it indicates that there is a risk of pipeline leakage, but it is not very serious. In this case, in order to avoid economic losses to the company, the amount of natural gas transported can be reduced (continuing to transport natural gas according to the initial amount of natural gas transport may exacerbate the risk of natural gas leakage).

[0177] When an emergency is detected in the natural gas pipeline, the alarm module sends an emergency command to the control module and an alarm signal to the administrator.

[0178] Example 3: Please refer to Figure 1 As shown in this embodiment, the natural gas long-distance pipeline leakage detection and alarm method includes the following steps:

[0179] Sensors are installed in the pipeline to monitor multi-source data, such as gas concentration, temperature, pressure, flow rate, and vibration. The sensors collect real-time multi-source data, which is preprocessed. After comprehensive analysis of the multi-source data, the processing unit predicts whether there will be any leakage in the natural gas pipeline. The prediction results are used to identify whether there is a possibility of leakage in the natural gas pipeline in the future. If a leakage is predicted, the urgency of the leakage is identified. When the leakage is identified as mild, the natural gas delivery rate is automatically adjusted. When the leakage is identified as urgent, the natural gas valve is automatically closed to stop the natural gas delivery. The database stores multi-source data, natural gas delivery rate adjustment information, and natural gas valve control information. Administrators can query relevant information through the logging module.

[0180] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0181] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," 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 invention. In this specification, 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.

[0182] The preferred embodiments of the present invention disclosed above are merely illustrative of the invention. These preferred embodiments do not exhaustively describe all details, nor do they limit the invention to any specific implementation. Clearly, many modifications and variations can be made based on the content of this specification. This specification selects and specifically describes these embodiments to better explain the principles and practical applications of the invention, thereby enabling those skilled in the art to better understand and utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims

1. A natural gas long-distance pipeline leakage detection and alarm system, characterized in that: It includes a data acquisition module, a transmission module, an analysis module, an identification module, an adjustment module, an alarm module, a control module, and a recording module; Acquisition module: Used to monitor multi-source data of natural gas pipelines, including natural gas concentration deviation index, pipeline vibration frequency, and pipeline damage degree; Transmission module: Collects multi-source data from the acquisition module and preprocesses the multi-source data; Analysis module: After comprehensively calculating the natural gas concentration deviation index, pipeline vibration frequency, and pipeline damage degree, the pipeline coefficient is obtained. and the pipeline coefficient The system compares the data with preset first and second warning thresholds to predict whether there will be any future leaks of natural gas transported through the pipeline; wherein, the pipeline coefficient... The expression is: ； In the formula, This is the natural gas concentration deviation index. The frequency of pipe vibration. For the degree of pipe damage, , , These are the proportional coefficients for the natural gas concentration deviation index, pipeline vibration frequency, and pipeline damage degree, respectively. , , All are greater than 0; Identification Module: Utilizes prediction results to identify the potential for future leaks in natural gas pipelines. If a leak is predicted, it identifies the urgency of the leak, including: if the pipeline coefficient... If the value is greater than the second warning threshold, it predicts that there will be a future leak of natural gas transported by the pipeline, and the identification module identifies the future leak of natural gas pipeline as urgent; if the value is less than the pipeline coefficient, the leak will be detected. If the value is less than or equal to the second warning threshold, it is predicted that there will be a future leak in the natural gas pipeline, and the identification module identifies the future leakage mitigation of the natural gas pipeline. Adjustment module: When it is identified that the future leakage of the natural gas pipeline will be mitigated, based on the initial natural gas delivery volume and the pipeline coefficient. Automatically regulates the natural gas delivery volume of the natural gas pipeline; Alarm module: When an emergency leak in a natural gas pipeline is detected, it sends an emergency command to the control module; Control module: Upon receiving an emergency command, it automatically closes the natural gas valve and stops the natural gas supply; Recording module: Stores multi-source data, natural gas delivery volume adjustment information, and natural gas valve control information.

2. The natural gas long-distance pipeline leakage detection and alarm system according to claim 1, characterized in that: Obtaining Pipeline Coefficients After the value is obtained, the analysis module will assign the pipeline coefficient. The value is compared with the preset first warning threshold and second warning threshold, and the first warning threshold is less than the second warning threshold; If pipeline coefficient Value > Second warning threshold or First warning threshold < Pipeline coefficient If the value is less than or equal to the second warning threshold, the analysis module predicts that there may be a future leak of natural gas transported by the natural gas pipeline. If pipeline coefficient If the value is less than or equal to the first warning threshold, the analysis module predicts that there will be no leakage of natural gas transported through the natural gas pipeline in the future.

3. The natural gas long-distance pipeline leakage detection and alarm system according to claim 1, characterized in that: When the future leakage in the natural gas pipeline is identified as mitigating, the adjustment module automatically adjusts the natural gas delivery rate of the pipeline, calculated as follows: ； In the formula, For the adjusted natural gas delivery volume, This is the initial natural gas delivery volume. For pipeline coefficients; After obtaining the adjusted natural gas delivery volume, the gas delivery center controls the pipeline to deliver natural gas at the adjusted natural gas delivery volume; When an emergency is detected in the natural gas pipeline, the alarm module sends an emergency command to the control module and an alarm signal to the administrator.

4. The natural gas long-distance pipeline leakage detection and alarm system according to claim 1, characterized in that: The formula for calculating the natural gas concentration deviation index is as follows: ； In the formula, This is the natural gas concentration deviation index. This represents the natural gas concentration of different natural gas samples actually measured in the natural gas pipeline. This is the standard natural gas concentration.

5. The natural gas long-distance pipeline leakage detection and alarm system according to claim 1, characterized in that: The formula for calculating the vibration frequency of the pipeline is: ； In the formula, The frequency of pipe vibration. The period of the vibration frequency identified from the spectrum.

6. The natural gas long-distance pipeline leakage detection and alarm system according to claim 1, characterized in that: The formula for calculating the pipeline damage degree is as follows: ； In the formula, For the degree of pipe damage, This indicates the initial physical state of the pipeline. This indicates the current physical state being monitored.

7. A method for detecting and alarming leaks in long-distance natural gas pipelines, implemented by an alarm system as described in any one of claims 1-6, characterized in that: The alarm method includes the following steps: S1: A data acquisition module is installed in the pipeline to monitor multi-source data and preprocess the multi-source data, which includes natural gas concentration deviation index, pipeline vibration frequency and pipeline damage degree. S2: The analysis module comprehensively calculates the natural gas concentration deviation index, pipeline vibration frequency, and pipeline damage degree to obtain the pipeline coefficient. and the pipeline coefficient The system compares the data with preset first and second warning thresholds to predict whether there will be any future leaks of natural gas transported through the pipeline; wherein, the pipeline coefficient... The expression is: ； In the formula, This is the natural gas concentration deviation index. The frequency of pipe vibration. For the degree of pipe damage, , , These are the proportional coefficients for the natural gas concentration deviation index, pipeline vibration frequency, and pipeline damage degree, respectively. , , All are greater than 0; S3: Use the prediction results to identify whether there will be future leaks in natural gas pipelines; S4: If a natural gas pipeline leak is predicted to occur in the future, identify the urgency of the leak, including: if the pipeline coefficient... If the value is greater than the second warning threshold, it predicts that there will be a future leak of natural gas transported by the pipeline, and the identification module identifies the future leak of natural gas pipeline as urgent; if the value is less than the pipeline coefficient, the leak will be detected. If the value is less than or equal to the second warning threshold, it is predicted that there will be a future leak in the natural gas pipeline, and the identification module identifies the future leakage mitigation of the natural gas pipeline. S5: When identifying a mitigation of future natural gas pipeline leaks, based on the initial natural gas delivery rate and the pipeline coefficient. The system automatically adjusts the natural gas delivery rate of the pipeline and, in the event of an emergency leak in the pipeline, automatically controls the natural gas valve to close and stop the natural gas delivery. S6: The recording module stores multi-source data, natural gas delivery volume adjustment information, and natural gas valve control information.

Images