A smart gas pipeline safety monitoring and management system based on the Internet of Things

Abstract

The present invention relates to the field of pipeline measurement and control technology, and in particular to an intelligent gas pipeline safety monitoring and management system based on the Internet of Things. The system determines whether a gas leak occurs by detecting the gas concentration in each area of ​​the gas pipeline at each time point, obtains each leakage point of the gas pipeline according to the pressure value of each leakage detection point at each time point of the gas pipeline, obtains the corrosion degree of the gas pipeline according to the external corrosion degree and internal corrosion degree of the gas pipeline, determines whether the gas pipeline pressure needs to be adjusted according to the gas consumption in each time period of the gas pipeline, analyzes the response sensitivity of the gas pipeline pressure regulation, and then comprehensively analyzes to obtain a comprehensive evaluation index of the gas pipeline, and provides feedback thereto, thereby greatly improving the safety of gas use and reducing the risk of gas accidents.

Description

Technical Field

[0001] The present invention relates to the field of pipeline measurement and control technology, and specifically to an intelligent gas pipeline safety monitoring and management system based on the Internet of Things. Background Art

[0002] With the acceleration of urbanization and people's continuous pursuit of quality of life, gas has been widely used in daily life and industrial production as an important energy source. The scope of laying gas pipelines is expanding, and its safe operation has become a vital issue.

[0003] Under the traditional model, gas pipeline safety management faces many challenges, such as limited monitoring methods, untimely fault detection, and low maintenance efficiency. However, with the rapid development of information technology, the concept of intelligence has gradually been integrated into various fields, and smart gas pipeline safety has emerged. Through intelligent means, it can timely detect minor anomalies in the pipeline, provide early warning of potential risks, and effectively avoid the occurrence of major accidents.

[0004] For example, the existing Chinese patent with application number 202110881074.0 discloses a gas pipeline safety monitoring system. This solution collects information through the equipment data interface and transmits it to the analysis service interface, which judges the fault and instruction execution status. The partition management module formulates a maintenance plan based on this and combines the information of the map support module, and communicates it to the maintenance dispatch and service sharing modules. The visualization module displays the relevant situation, the maintenance dispatch module reminds the maintenance personnel, and the service sharing module sends requests to multiple parties. The modules cooperate with each other to achieve effective monitoring and response to gas pipeline safety.

[0005] However, this solution has the following shortcomings: it focuses on monitoring the status of monitoring equipment and the fault handling process, but does not involve comprehensive inspection of the gas pipeline itself, such as the degree of corrosion. This may lead to the inability to timely discover potential safety hazards caused by corrosion and other problems in the gas pipeline, resulting in inaccurate assessment of the operating status of the entire gas system, affecting subsequent maintenance and management decisions.

[0006] For example, the existing Chinese patent application number 202311007743.7 discloses a gas pipeline safety assessment and early warning system, method and storage medium. This solution determines whether there is a leak in the gas pipeline by monitoring the flow rate at the gas inlet and outlet of the gas pipeline, and the pressure inside and outside the pipeline. At the same time, it calculates the gas leakage rate, leakage amount and critical value, etc., which can accurately determine whether there is a leak in the gas pipeline so that timely repair measures can be taken to ensure the safety and stability of the gas supply.

[0007] However, this solution has the following shortcomings: it determines whether there are leaks in the gas pipeline by measuring the pressure inside and outside the pipeline, but does not involve the adjustment of the pipeline pressure. In some special circumstances, such as peak or low gas consumption periods, the pressure cannot be adjusted in time to adapt to changes, which may cause insufficient gas supply or large pressure fluctuations, posing a threat to the safety of the gas pipeline. Summary of the Invention

[0008] In order to overcome the shortcomings of the background technology, an embodiment of the present invention provides a smart gas pipeline safety monitoring and management system based on the Internet of Things, which can effectively solve the problems involved in the above-mentioned background technology.

[0009] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides an intelligent gas pipeline safety monitoring and management system based on the Internet of Things, including: a gas status monitoring module, which is used to detect the gas concentration in each area of ​​the gas pipeline at each time point, and then determine whether a gas leak occurs.

[0010] The leakage detection module is used to detect the pressure value of each leakage detection point of the gas pipeline at each time point, analyze the pressure leakage degree of each leakage detection point of the gas pipeline, and then obtain the leakage points of the gas pipeline.

[0011] The corrosion degree detection module is used to detect the external corrosion degree and internal corrosion degree of the gas pipeline respectively, and then conduct a comprehensive analysis to obtain the corrosion degree of the gas pipeline.

[0012] The gas consumption analysis module is used to detect the gas consumption of the gas pipeline in each time period, so as to determine whether the gas pipeline pressure needs to be adjusted.

[0013] The equipment sensitivity analysis module is used to apply input changes to the gas pipeline according to each adjustment pressure value, obtain the adjustment response time of each adjustment pressure value, and then analyze the response sensitivity of the gas pipeline pressure adjustment.

[0014] Gas pipeline comprehensive analysis module is used to analyze the pressure leakage degree of each leakage detection point in the gas pipeline , the degree of corrosion of gas pipelines , Response sensitivity of pressure regulation The comprehensive evaluation index of the gas pipeline is obtained through analysis and feedback is provided.

[0015] Management database, used to store preset normal range of gas consumption.

[0016] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention determines whether a gas leak occurs by detecting the gas concentration in each area of ​​the gas pipeline at each time point, and obtains the leakage points of the gas pipeline based on the pressure values ​​of each leakage detection point at each time point of the gas pipeline, so as to detect gas leaks in a timely and accurate manner and improve safety.

[0017] 2. The present invention obtains the corrosion degree of the gas pipeline based on the external corrosion degree and the internal corrosion degree of the gas pipeline, which helps to carry out targeted maintenance and repair work, extend the service life of the pipeline, prevent pipeline failures caused by severe corrosion in advance, and ensure the stability of gas supply.

[0018] 3. The present invention determines whether the gas pipeline pressure needs to be adjusted based on the gas consumption in each time period of the gas pipeline, and analyzes the response sensitivity of the gas pipeline pressure regulation, which helps to improve the gas utilization efficiency and avoid problems such as unstable gas consumption caused by unreasonable pressure.

[0019] 4. The present invention obtains a comprehensive evaluation index for the gas pipeline based on the pressure leakage degree of each leakage detection point of the gas pipeline, the corrosion degree of the gas pipeline, and the response sensitivity of the pressure regulation, and provides feedback on it, which can timely discover potential problems and further improve the safety and reliability of the pipeline. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 This is a system module connection diagram of the present invention.

[0022] Figure 2 for Figure 1 Flowchart of the gas status monitoring module.

[0023] Figure 3 for Figure 1 Flow chart of the gas consumption analysis module. DETAILED DESCRIPTION

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making any creative efforts shall fall within the scope of protection of the present invention.

[0025] See also Figure 1 As shown, a smart gas pipeline safety monitoring and management system based on the Internet of Things includes a gas status monitoring module, a leakage detection module, a corrosion degree detection module, a gas consumption analysis module, an equipment sensitivity analysis module, a gas pipeline comprehensive analysis module, and a management database.

[0026] The management database is connected to the corrosion degree detection module, the gas consumption analysis module, the equipment sensitivity analysis module, and the gas pipeline comprehensive analysis module; the leakage detection module is connected to the gas status monitoring module and the gas pipeline comprehensive analysis module; the equipment sensitivity analysis module is connected to the gas consumption analysis module and the gas pipeline comprehensive analysis module; and the gas pipeline comprehensive analysis module is connected to the corrosion degree detection module.

[0027] The gas status monitoring module is used to detect the gas concentration in each area of ​​the gas pipeline at each time point, and then determine whether there is a gas leak.

[0028] See also Figure 2 As shown, the specific analysis method of the gas status monitoring module is: the first step is to divide the gas pipeline into several areas according to the set distance, and at the same time select several time points according to the set interval duration, and use the gas concentration detector to detect the gas concentration of each area of ​​the gas pipeline at each time point, so as to obtain the gas concentration of each area of ​​the gas pipeline at each time point; the gas concentration of different positions of the gas pipeline at different times can be more widely and meticulously grasped, thereby improving the comprehensiveness and accuracy of the detection and providing basic data for subsequent analysis.

[0029] In the second step, two adjacent time points are grouped together as each group of time points. The difference in gas concentration at each group of time points in each area of ​​the gas pipeline is obtained by subtracting the gas concentration. This helps to more keenly detect abnormal fluctuations in gas concentration, improve the ability to detect small leaks, and make leak judgments more accurate.

[0030] The third step is to compare the gas concentration difference at each group of time points in each area of ​​the gas pipeline with the preset gas concentration difference threshold. If the gas concentration difference at a group of time points in a certain area of ​​the gas pipeline is greater than or equal to the preset gas concentration difference threshold, it is determined that a gas leak has occurred in the area and the area is recorded as a gas pipeline leakage area. The leakage location of the gas pipeline needs to be further determined. If the gas concentration difference at each group of time points in a certain area of ​​the gas pipeline is less than the preset gas concentration difference threshold, it means that no gas leakage has occurred in the area. Gas leakage can be discovered in a timely and accurate manner so that response measures can be taken quickly to reduce the safety risks and resource waste caused by gas leakage.

[0031] The leakage detection module is used to detect the pressure value of each leakage detection point of the gas pipeline at each time point, analyze the pressure leakage degree of each leakage detection point of the gas pipeline, and then obtain the leakage points of the gas pipeline.

[0032] The specific analysis method of the leakage detection module is as follows: select a number of detection points in the gas pipeline leakage area according to the set interval, record them as leakage detection points, inject gas into the gas pipeline through the air pump, increase the gas pipeline pressure to the set value, and record the set pressure value as The pressure value of each leakage detection point in the gas pipeline at each time point is obtained through the pressure gauge and recorded as , Indicates the The number of the leak detection point, , Indicates the The number of the time point, , through the formula Get the pressure leakage degree of each leakage detection point in the gas pipeline , Indicates the gas pipeline Leak detection point The system can measure the pressure value at each time point, compare the pressure leakage degree of each leakage detection point of the gas pipeline with the preset pressure leakage degree threshold, screen out the leakage points of the gas pipeline, and provide feedback to the system; this is conducive to timely repair and maintenance, reducing the harm and loss of gas leakage.

[0033] It should be noted that the specific analysis method for the leakage points of the gas pipeline is: comparing the pressure leakage degree of each leakage detection point of the gas pipeline with the preset pressure leakage degree threshold. If the pressure leakage degree of a leakage detection point of the gas pipeline is greater than or equal to the preset pressure leakage degree threshold, it means that the gas pipeline is leaking at the leakage detection point, which is recorded as the gas pipeline leakage point. If the pressure leakage degree of a leakage detection point of the gas pipeline is less than the preset pressure leakage degree threshold, it means that the gas pipeline is not leaking at the leakage detection point, and the leakage points of the gas pipeline are detected in this way.

[0034] The corrosion degree detection module is used to detect the external corrosion degree and internal corrosion degree of the gas pipeline respectively, and then conduct a comprehensive analysis to obtain the corrosion degree of the gas pipeline.

[0035] The specific analysis method of the external corrosion degree of the gas pipeline is as follows: the first step is to obtain an image of the outer surface of the gas pipeline by flying a drone above the gas pipeline, which is recorded as the outer surface image of the gas pipeline, and the chromaticity value of each pixel point in the outer surface image of the gas pipeline is detected, which is recorded as , Indicates the The number of pixels, , the average chromaticity value of the pixels on the outer surface of the gas pipeline is obtained by mean calculation, which is recorded as , substitute it into the formula Get the chromaticity difference of each pixel in the gas pipeline outer surface image ; It can promptly detect possible color anomalies on the outer surface, which helps to preliminarily determine whether there is corrosion or other anomalies in the pipeline.

[0036] In the second step, several detection points are selected on the gas pipeline at a fixed distance, which are recorded as each detection point. The eddy current detection coil is placed close to the outer surface of the pipeline at a set distance. An alternating current of a specific intensity is applied to the eddy current detection coil by the eddy current detection instrument, thereby generating eddy currents in the gas pipeline. The intensity of the eddy current change signal induced by the eddy current detection coil at each detection point at each time point is monitored, and the eddy current change signal intensity of each detection point at each time point in the gas pipeline is obtained, which is recorded as , Indicates the The number of the test point, , substitute it into the formula Obtain the abnormal degree of eddy current change signal intensity at each detection point of the gas pipeline , represents the number of detection points, Indicates the number of time points; can sensitively detect changes in the metal structure of the pipeline, accurately determine whether there are defects or corrosion problems, and improve detection accuracy.

[0037] The third step is to sample a set amount of soil at each detection point of the gas pipeline according to the selected detection points, obtain soil samples at each detection point of the gas pipeline, connect the resistivity tester, insert the electrodes into the soil samples at each detection point of the gas pipeline, and use the resistivity tester to obtain the resistivity of the soil samples at each detection point of the gas pipeline, which is recorded as , through the formula Obtain the abnormal degree of soil resistivity at each detection point of the gas pipeline , Indicates the preset soil resistivity threshold; it can be used to understand the impact of the soil environment on pipelines and determine the relationship between soil and pipeline corrosion by the degree of resistivity anomaly.

[0038] The fourth step is to use the formula Get the external corrosion degree of gas pipeline , They represent the weight factors of the preset chromaticity difference, the abnormal degree of eddy current change signal intensity, and the abnormal degree of soil resistivity, respectively. Indicates the preset chroma difference threshold, Indicates the number of inspection points; comprehensively considers various factors that may affect the external corrosion of pipelines, making the assessment of the external corrosion condition of pipelines more scientific and accurate, and providing a reliable basis for subsequent maintenance and management decisions.

[0039] It should be noted that, in a specific embodiment, It can be set to 0.2, It can be set to 0.4, It can be set to 0.4. Eddy current testing has good detection capabilities for metal defects and corrosion, and can more accurately reflect the corrosion situation. Soil resistivity is closely related to soil corrosivity and has a significant impact on external corrosion of gas pipelines. It can reflect the potential threat of pipeline corrosion from the perspective of environmental factors. Therefore, the weights corresponding to the abnormal degree of eddy current change signal intensity and the abnormal degree of soil resistivity are relatively large.

[0040] The specific analysis method of the internal corrosion degree of the gas pipeline is as follows: the first step is to apply coupling agent on the outer wall of the gas pipeline, and use an ultrasonic probe to transmit ultrasonic waves of fixed intensity from each detection point of the gas pipeline to the inside of the gas pipeline, and record the ultrasonic intensity as , and record the time taken by each detection point of the gas pipeline from transmitting ultrasonic waves to receiving ultrasonic echoes, which is recorded as the ultrasonic echo time taken by each detection point At the same time, the ultrasonic echo intensity received at each detection point of the gas pipeline is recorded, which is recorded as the ultrasonic echo intensity of each detection point of the gas pipeline ; It can detect changes in pipeline thickness, internal defects, etc., and provide data support for evaluating the degree of internal corrosion.

[0041] In the second step, the magnetization device is installed on the gas pipeline to magnetize the gas pipeline. At the same time, a magnetic flux leakage detection sensor is arranged at each detection point of the gas pipeline to collect the magnetic flux leakage signal of each detection point of the gas pipeline. The magnetic flux leakage signal strength of each detection point of the gas pipeline is obtained, which is recorded as ; It can effectively detect the leakage magnetic field caused by changes in metal structure due to corrosion and other reasons, and further reflect the internal corrosion condition.

[0042] The third step is to use the formula Get the internal corrosion degree of gas pipeline , Indicates the preset reference value of the leakage magnetic signal strength. They represent the preset ultrasonic echo intensity, ultrasonic echo duration, and weight factors of magnetic flux leakage signal intensity. Indicates the number of inspection points; helps to accurately grasp the extent of corrosion in the gas pipeline so as to take targeted maintenance and repair measures to ensure the safe operation of the gas pipeline.

[0043] It should be noted that, in a specific embodiment, It can be set to 0.4, It can be set to 0.4, It can be set to 0.2. The duration of the ultrasonic echo can directly reflect the change in pipe wall thickness, which is a key indicator closely related to the degree of corrosion. The change in thickness more intuitively reflects the progress of corrosion. The ultrasonic echo intensity reflects the integrity and quality changes of the pipe wall from the signal characteristics, which is helpful for judging the nature and scope of the corrosion area. Although the leakage magnetic signal intensity can reflect metal loss, it may be affected by various factors, such as the magnetic field environment, and is not as direct and stable as the echo duration and intensity. Therefore, the ultrasonic echo duration and ultrasonic echo intensity have greater corresponding weights.

[0044] The specific analysis method of the corrosion degree of the gas pipeline is as follows: read the external corrosion degree of the gas pipeline respectively , degree of internal corrosion , substitute it into Get the corrosion degree of gas pipeline ,in Indicates the preset corrosion threshold, The weight factors represent the preset external corrosion degree and internal corrosion degree respectively; they help to more accurately grasp the health status of the gas pipeline so that corresponding maintenance and repair measures can be taken in time to avoid safety hazards or failures caused by corrosion problems.

[0045] It should be noted that, in a specific embodiment, It can be set to 0.5, It can be set to 0.5. Internal corrosion directly affects the internal structure and carrying capacity of the pipeline, and has a more direct and critical impact on the safety of gas transportation. If the internal corrosion is serious and leads to problems such as pipeline perforation, it may cause more serious consequences, such as gas leakage. Secondly, internal corrosion is relatively more difficult to observe and detect directly, and its potential danger may be higher. The weight of the external corrosion degree cannot be ignored. Although external corrosion is relatively easy to be discovered and monitored, it will gradually weaken the external protection of the pipeline, thereby affecting the overall durability. If the external corrosion is serious, it will also affect the service life and safety of the pipeline. Therefore, the weights corresponding to the external corrosion degree and the internal corrosion degree are equal.

[0046] The gas consumption analysis module is used to detect the gas consumption of the gas pipeline in each time period, so as to determine whether the gas pipeline pressure needs to be adjusted.

[0047] See also Figure 3As shown, the specific analysis method of the gas consumption analysis module is: the first step is to divide several time periods according to the set duration, recorded as each time period, and read the used gas volume at the start time point and end time point of each time period from the gas meter respectively, and the gas consumption of each time period is obtained by subtracting the used gas volume at the start time point and end time point of each time period; it can understand the usage of gas in different time periods in detail and realize refined gas consumption metering.

[0048] The second step is to read the preset normal range of gas consumption from the management database, and extract the maximum and minimum values ​​corresponding to the normal range of gas consumption, which are recorded as the upper limit value and lower limit value of gas consumption respectively; this provides a standard for judging whether the actual gas consumption is normal, facilitating comparison and analysis.

[0049] It should be noted that the specific analysis method of the preset normal range of gas consumption is: obtain the gas consumption of each historical time period in the area corresponding to the gas pipeline respectively, and calculate the average gas consumption of the historical time period in the area corresponding to the gas pipeline by performing the mean calculation, which is recorded as At the same time, the standard deviation of gas consumption in each historical period of the corresponding area of ​​the gas pipeline is calculated and recorded as , through the formula Get the maximum allowable gas consumption value , minimum allowed value , which constitutes the normal range of gas consumption.

[0050] The third step is to compare the gas consumption in each time period with the normal range of gas consumption. If the gas consumption in a certain time period is within the normal range of gas consumption, it means that the gas consumption in this period is at a normal level and there is no need to adjust the gas pipeline pressure. If the gas consumption in a certain time period is greater than the upper limit of gas consumption, it means that the gas consumption in this period is higher than the normal level and the gas pipeline pressure needs to be increased. If the gas consumption in a certain time period is less than the lower limit of gas consumption, it means that the gas consumption in this period is lower than the normal level and the gas pipeline pressure needs to be reduced. This can realize dynamic adjustment of gas supply and ensure reasonable supply under different gas demands, avoid waste and safety hazards caused by excessive pressure, prevent normal use affected by excessively low pressure, improve the efficiency and stability of gas supply, and also contribute to energy conservation and rational use of resources.

[0051] The equipment sensitivity analysis module is used to apply input changes to the gas pipeline according to each adjustment pressure value, obtain the adjustment response time of each adjustment pressure value, and then analyze the response sensitivity of the gas pipeline pressure adjustment.

[0052] The specific analysis method of the response time of each adjustment pressure value is as follows: the first step is to connect the pressure regulating device if there is no gas pipeline leakage area in the gas pipeline, apply input changes to the gas pipeline according to the set pressure value, and select time points according to a fixed time after applying the input changes to the gas pipeline, record them as each pressure time point, obtain the pressure reading of the gas pipeline at each pressure time point, and record them as the pressure value of each pressure time point of the gas pipeline , Indicates the The number of the pressure time point, , the average pressure value of the gas pipeline is obtained by mean calculation, which is recorded as , substitute it into the formula Get the pressure fluctuation degree of the gas pipeline , Indicates the number of pressure time points. Based on the degree of pressure fluctuation in the gas pipeline, it is determined whether the gas pipeline pressure value has entered a stable stage. The time taken from the application of input changes to the gas pipeline to the gas pipeline pressure value entering a stable stage is recorded as the pressure regulation response time. This helps to ensure that the gas pipeline pressure is in a safe, reasonable and stable state, and to guarantee the quality and reliability of the gas supply.

[0053] It should be noted that the specific analysis method of the pressure regulation response time is: read the pressure fluctuation degree of the gas pipeline, compare the pressure fluctuation degree of the gas pipeline with the preset pressure fluctuation degree threshold, if the pressure fluctuation degree of the gas pipeline is less than the preset pressure fluctuation degree threshold, then it is judged that the gas pipeline pressure value has entered a stable stage, and the time taken from applying input changes to the gas pipeline to the gas pipeline pressure value entering a stable stage is recorded as the pressure regulation response time. If the pressure fluctuation degree of the gas pipeline is greater than or equal to the preset pressure fluctuation degree threshold, then it is judged that the gas pipeline pressure value has not entered a stable stage, and the number of pressure time points is continued to increase until the pressure fluctuation degree of the gas pipeline is less than the preset pressure fluctuation degree threshold.

[0054] In the second step, the input changes are applied to the gas pipeline according to the set pressure values, and the set pressure values ​​are recorded as the adjusted pressure values. The adjustment response time of each adjusted pressure value is obtained by analyzing the pressure adjustment response time, which is recorded as , Indicates the The number of the adjustment pressure value, It can fully understand the performance of gas pipelines under various set pressure conditions, provide more data support for determining the optimal pressure regulation strategy, and achieve more efficient and accurate pressure control.

[0055] The specific analysis method of the equipment sensitivity analysis module is: reading each adjustment pressure value and adjusting the response time , substitute it into the formula Get the response sensitivity of gas pipeline pressure regulation , Indicates the number of regulated pressure values; clarifies the sensitive performance of the gas pipeline under different pressure regulation conditions, which helps to better understand its characteristics.

[0056] Gas pipeline comprehensive analysis module is used to analyze the pressure leakage degree of each leakage detection point in the gas pipeline , the degree of corrosion of gas pipelines , Response sensitivity of pressure regulation The comprehensive evaluation index of the gas pipeline is obtained through analysis and feedback is provided.

[0057] The specific analysis method of the gas pipeline comprehensive analysis module is to read the pressure leakage degree of each leakage detection point of the gas pipeline respectively: , the degree of corrosion of gas pipelines , Response sensitivity of pressure regulation , substitute it into the formula Get the comprehensive evaluation index of gas pipeline ,in Respectively represent the weight factors of the preset pressure leakage degree, corrosion degree, and response sensitivity of pressure regulation, Indicates the number of leak detection points, It indicates the number of detection points, and compares the comprehensive evaluation index of the gas pipeline with the preset comprehensive evaluation index threshold. If the comprehensive evaluation index of the gas pipeline is greater than or equal to the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation index of the gas pipeline is qualified. Otherwise, it means that the comprehensive evaluation index of the gas pipeline is unqualified, and feedback is given to the system. It can comprehensively and comprehensively evaluate the overall condition of the gas pipeline, help to take targeted maintenance and improvement measures, and ensure the safe and efficient operation of the gas pipeline.

[0058] It should be noted that, in a specific embodiment, It can be set to 0.4, It can be set to 0.4, It can be set to 0.2. Pressure leakage is a very serious situation that directly threatens safety. If a serious pressure leakage occurs, it may quickly lead to a dangerous accident and pose a huge threat to life and property. Therefore, its importance is prominent, and the weight of the degree of corrosion is relatively large. This is because corrosion is a factor that accumulates over a long period of time and will continue to affect pipeline performance and safety. It may gradually weaken the pipeline structure, resulting in an increase in potential leakage risks. It is one of the key factors affecting the long-term stable operation of gas pipelines. The response sensitivity of pressure regulation has a certain impact on the stability of gas supply, but compared with the first two, its urgency and direct danger are relatively low. However, it still has certain significance for the normal operation of gas pipelines and user experience. Therefore, the weights corresponding to the degree of pressure leakage and the degree of corrosion are equal.

[0059] Management database, used to store preset normal range of gas consumption.

[0060] The present invention determines whether there is a gas leak by detecting the gas concentration in each area of ​​the gas pipeline at each time point, obtains each leakage point of the gas pipeline according to the pressure value of each leakage detection point at each time point, obtains the corrosion degree of the gas pipeline according to the external corrosion degree and internal corrosion degree of the gas pipeline, determines whether the gas pipeline pressure needs to be adjusted according to the gas consumption of the gas pipeline in each time period, analyzes the response sensitivity of the gas pipeline pressure regulation, and then comprehensively analyzes to obtain a comprehensive evaluation index of the gas pipeline and provides feedback on the index, thereby greatly improving the safety of gas use and reducing the risk of gas accidents.

[0061] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may make changes, modifications, substitutions and variations to the above embodiments within the scope of the present invention, which are still covered by the scope of protection of the present invention.

Claims

1. A smart gas pipeline safety monitoring and management system based on the Internet of Things, characterized in that: The system specifically includes the following modules: The gas status monitoring module is used to detect the gas concentration in each area of ​​the gas pipeline at each time point, and then determine whether there is a gas leak; The leakage detection module is used to detect the pressure value of each leakage detection point of the gas pipeline at each time point, analyze and obtain the pressure leakage degree of each leakage detection point of the gas pipeline, and then obtain the leakage points of the gas pipeline; The corrosion degree detection module is used to detect the external corrosion degree and internal corrosion degree of the gas pipeline respectively, and then comprehensively analyze the corrosion degree of the gas pipeline; The gas consumption analysis module is used to detect the gas consumption of the gas pipeline in each time period, so as to determine whether the gas pipeline pressure needs to be adjusted; The equipment sensitivity analysis module is used to apply input changes to the gas pipeline according to each adjustment pressure value, obtain the adjustment response time of each adjustment pressure value, and then analyze the response sensitivity of the gas pipeline pressure adjustment; The specific analysis method of the equipment sensitivity analysis module is: Read each adjustment pressure value and adjust the response time , substituting it into the formula Get the response sensitivity of gas pipeline pressure regulation , Indicates the number of adjusted pressure values, Indicates The number of the pressure value to be adjusted, ; The gas pipeline comprehensive analysis module is used to analyze the pressure leakage degree of each leakage detection point in the gas pipeline. , the degree of corrosion of gas pipelines , Response sensitivity of pressure regulation Analyze and obtain the comprehensive evaluation index of the gas pipeline and provide feedback; The specific analysis method of the gas pipeline comprehensive analysis module is: Read the pressure leakage degree of each leakage detection point of the gas pipeline separately , the degree of corrosion of gas pipelines , Response sensitivity of pressure regulation , substituting it into the formula Get the comprehensive evaluation index of gas pipeline ,in They represent the weight factors of the preset pressure leakage degree, corrosion degree, and response sensitivity of pressure regulation, respectively. Indicates the number of leak detection points, Indicates The number of the leak detection point, , compare the comprehensive evaluation index of the gas pipeline with the preset comprehensive evaluation index threshold. If the comprehensive evaluation index of the gas pipeline is greater than or equal to the preset comprehensive evaluation index threshold, it means that the comprehensive evaluation index of the gas pipeline is qualified. Otherwise, it means that the comprehensive evaluation index of the gas pipeline is unqualified, and feedback is given to the system; Management database, used to store preset normal range of gas consumption.

2. According to the Internet of Things-based smart gas pipeline safety monitoring and management system of claim 1, it is characterized in that: The specific analysis method of the gas status monitoring module is: The first step is to divide the gas pipeline into several areas according to the set distance, and select several time points according to the set interval length. The gas concentration of each area of ​​the gas pipeline at each time point is detected by a gas concentration detector to obtain the gas concentration of each area of ​​the gas pipeline at each time point; The second step is to group two adjacent time points into a group, record them as each group of time points, and obtain the difference of gas concentration of each group of time points in each area of ​​the gas pipeline by subtracting the gas concentration of each group of time points in each area of ​​the gas pipeline; The third step is to compare the gas concentration difference at each group of time points in each area of ​​the gas pipeline with the preset gas concentration difference threshold. If the gas concentration difference at a group of time points in a certain area of ​​the gas pipeline is greater than or equal to the preset gas concentration difference threshold, it is determined that gas leakage has occurred in the area, and the area is recorded as the gas pipeline leakage area. It is necessary to further determine the leakage location of the gas pipeline. If the gas concentration difference at each group of time points in a certain area of ​​the gas pipeline is less than the preset gas concentration difference threshold, it means that there is no gas leakage in the area.

3. According to the Internet of Things-based smart gas pipeline safety monitoring and management system of claim 2, it is characterized in that: The specific analysis method of the leakage detection module is: Select several detection points in the gas pipeline leakage area according to the set interval, record them as leakage detection points, inject gas into the gas pipeline through the air pump, increase the gas pipeline pressure to the set value, and record the set pressure value as The pressure value of each leakage detection point in the gas pipeline at each time point is obtained through the pressure gauge, which is recorded as , Indicates The number of the leak detection point, , Indicates The number of the time point, , through the formula Get the pressure leakage degree of each leakage detection point in the gas pipeline , Indicates the gas pipeline Leak detection point The pressure value at each time point is obtained, and the pressure leakage degree of each leakage detection point of the gas pipeline is compared with the preset pressure leakage degree threshold, so as to screen out the leakage points of the gas pipeline and provide feedback to the system.

4. According to the Internet of Things-based smart gas pipeline safety monitoring and management system of claim 3, it is characterized in that: The specific analysis method of the external corrosion degree of the gas pipeline is as follows: In the first step, the drone is used to fly over the gas pipeline to obtain an image of the outer surface of the gas pipeline, which is recorded as the outer surface image of the gas pipeline. The chromaticity value of each pixel in the outer surface image of the gas pipeline is detected, which is recorded as , Indicates The number of pixels, , the average chromaticity value of the pixels on the outer surface of the gas pipeline is obtained by mean calculation, which is recorded as , substituting it into the formula Get the chromaticity difference of each pixel in the gas pipeline outer surface image ; In the second step, several detection points are selected on the gas pipeline at a fixed distance, which are recorded as detection points. The eddy current detection coil is placed close to the outer surface of the pipeline at a set distance. An alternating current of a specific intensity is applied to the eddy current detection coil by an eddy current detection instrument, thereby generating eddy currents in the gas pipeline. The intensity of the eddy current change signal induced by the eddy current detection coil at each detection point at each time point is monitored, and the eddy current change signal intensity of each detection point at each time point in the gas pipeline is obtained, which is recorded as , Indicates The number of the test point, , substituting it into the formula Obtain the abnormal degree of eddy current change signal intensity at each detection point of the gas pipeline , represents the number of detection points, Indicates the number of time points; In the third step, a set amount of soil is sampled at each detection point of the gas pipeline according to the selected detection points, and soil samples at each detection point of the gas pipeline are obtained. The resistivity tester is connected, and the electrodes are inserted into the soil samples at each detection point of the gas pipeline. The resistivity of the soil samples at each detection point of the gas pipeline is obtained by the resistivity tester, which is recorded as , through the formula Obtain the abnormal degree of soil resistivity at each detection point of the gas pipeline , Indicates the preset soil resistivity threshold; The fourth step is to use the formula Get the external corrosion degree of gas pipeline , They represent the weighting factors of the preset chromaticity difference, the abnormality of the eddy current change signal intensity, and the abnormality of the soil resistivity. Indicates the preset chromaticity difference threshold, Indicates the number of detection points.

5. According to the Internet of Things-based smart gas pipeline safety monitoring and management system of claim 4, it is characterized in that: The specific analysis method of the internal corrosion degree of the gas pipeline is: In the first step, a coupling agent is applied to the outer wall of the gas pipeline, and an ultrasonic probe is used to transmit ultrasonic waves of a fixed intensity from each detection point of the gas pipeline to the inside of the gas pipeline. The ultrasonic intensity is recorded as , and record the time taken by each detection point of the gas pipeline from transmitting the ultrasonic wave to receiving the ultrasonic wave echo, which is recorded as the ultrasonic wave echo time taken by each detection point At the same time, the ultrasonic echo intensity received at each detection point of the gas pipeline is recorded, which is recorded as the ultrasonic echo intensity at each detection point of the gas pipeline ; In the second step, the magnetization device is installed on the gas pipeline to magnetize the gas pipeline. At the same time, magnetic leakage detection sensors are arranged at each detection point of the gas pipeline to collect the magnetic leakage signals of each detection point of the gas pipeline to obtain the magnetic leakage signal strength of each detection point of the gas pipeline, which is recorded as ; The third step is to use the formula Get the internal corrosion degree of gas pipeline , Indicates the preset reference value of the magnetic leakage signal strength. They represent the preset ultrasonic echo intensity, ultrasonic echo duration, and weight factors of the magnetic flux leakage signal intensity. Indicates the number of detection points.

6. According to the IoT-based smart gas pipeline safety monitoring and management system of claim 5, it is characterized in that: The specific analysis method of the corrosion degree of the gas pipeline is as follows: Read the external corrosion degree of the gas pipeline separately , Internal corrosion degree , substitute it into Get the corrosion degree of gas pipeline ,in Indicates the preset corrosion threshold, They respectively represent the weight factors of the preset external corrosion degree and internal corrosion degree.

7. According to the Internet of Things-based smart gas pipeline safety monitoring and management system of claim 1, it is characterized in that: The specific analysis method of the gas consumption analysis module is: The first step is to divide the time into several time periods according to the set time length, record them as time periods, read the used gas volume at the start time point and the end time point of each time period from the gas meter, and obtain the gas consumption of each time period by subtracting the used gas volume at the start time point and the end time point of each time period; The second step is to read the preset normal range of gas consumption from the management database, and extract the maximum value and the minimum value corresponding to the normal range of gas consumption, which are recorded as the upper limit value and the lower limit value of gas consumption respectively; The third step is to compare the gas consumption in each time period with the normal range of gas consumption. If the gas consumption in a certain time period is within the normal range of gas consumption, it means that the gas consumption in this time period is at a normal level and there is no need to adjust the gas pipeline pressure. If the gas consumption in a certain time period is greater than the upper limit of gas consumption, it means that the gas consumption in this time period is higher than the normal level and the gas pipeline pressure needs to be increased. If the gas consumption in a certain time period is less than the lower limit of gas consumption, it means that the gas consumption in this time period is lower than the normal level and the gas pipeline pressure needs to be reduced.

8. The smart gas pipeline safety monitoring and management system based on the Internet of Things according to claim 7 is characterized in that: The specific analysis method for adjusting the response time of each adjustment pressure value is: If there is no gas pipeline leakage area in the gas pipeline, connect the pressure regulating equipment, apply input changes to the gas pipeline according to the set pressure value, and select time points according to a fixed time after applying the input changes to the gas pipeline, record them as each pressure time point, obtain the pressure reading of the gas pipeline at each pressure time point, and record them as the pressure value of each pressure time point of the gas pipeline , Indicates The number of the pressure time point, , the average pressure value of the gas pipeline is obtained by averaging, which is recorded as , substituting it into the formula Get the pressure fluctuation degree of the gas pipeline , Indicates the number of pressure time points. According to the pressure fluctuation degree of the gas pipeline, it is judged whether the pressure value of the gas pipeline has entered a stable stage. The time taken from the input change to the gas pipeline to the pressure value of the gas pipeline entering a stable stage is recorded as the pressure adjustment response time. Similarly, the adjustment response time of each pressure value is analyzed. .

Images