Energy-saving pipeline leakage detection system based on Internet of Things

Abstract

The invention discloses an energy-saving pipeline leakage detection system based on Internet of Things, and relates to the technical field of chemical pipeline leakage detection, the energy-saving pipeline leakage detection system has comprehensive and efficient pipeline safety guarantee capability, and a pipeline leakage judgment module collects data of gas and a pipeline body in the pipeline by means of the Internet of Things, and accurately judges whether each pipeline section of the pipeline has a leakage fault or not. And if the leakage risk exists, the leakage hazard risk grade evaluation module evaluates the hazard grade and analyzes adaptive emergency measures. And the emergency linkage response mechanism analysis module formulates an emergency linkage scheme of a corresponding region according to the hazard level to ensure collaborative response of multiple departments. And the repair feedback analysis module evaluates the effect after the fault is repaired, and if the effect is not good, deep analysis is performed and feedback is provided. According to the system, through cooperative work of multiple modules, whole-process monitoring, early warning, disposal and feedback of chemical pipeline leakage are achieved, and the pipeline operation safety and energy saving performance are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of chemical pipeline leakage detection, and in particular to an energy-saving pipeline leakage detection system based on the Internet of Things. Background Art

[0002] The chemical industry, a pillar of the national economy, relies on pipeline systems to transport high-temperature, high-pressure, and corrosive media over long distances. However, frequent pipeline leakage accidents pose a serious threat to production safety, the ecological environment, and economic benefits. According to the "China Chemical Safety Development Report," over the past five years, chemical pipeline leaks have caused over 300 fires, explosions, and pollution incidents annually, resulting in direct economic losses exceeding 10 billion yuan. Therefore, an energy-saving pipeline leak detection system based on the Internet of Things is needed.

[0003] Existing technologies, such as the invention application patent with publication number CN110632167A, disclose an online detection method for chemical pipelines, which includes analyzing pipeline failure modes, sorting out the defect types and failure modes of the chemical pipelines to form a summary report; analyzing the technical advantages of each detection technology and the detection and monitoring environment, and determining the corresponding defect types and failure types; performing targeted measurements on pipeline defect types and failure modes; installing electromagnetic ultrasonic sensors and ultrasonic guided wave sensors on the pipeline system, using wireless transmission technology to control the excitation receiving device and transmit detection data, and storing the monitoring data in a cloud server; targeted measurements are to use ultrasonic guided wave detection to scan and evaluate defects in straight pipe sections; targeted measurements are to use electromagnetic ultrasound to quantify corrosion and erosion defects in straight pipe sections, elbows, and reducers, and to detect stratification and bubbles in the pipe wall.

[0004] In response to the above-mentioned solution, the present applicant has discovered that the above-mentioned technology has at least the following technical problems: 1. The existing technology relies on a single type of data, monitoring only the pressure or gas concentration within the pipeline, which makes it difficult to fully reflect the actual operating conditions of the pipeline. Pipeline leaks are often the result of the combined effects of multiple factors. A single data set cannot capture complex potential fault hazards, resulting in inaccurate predictions of leakage faults and prone to omissions or false alarms. For example, relying solely on pressure monitoring may ignore potential leakage risks caused by pipeline vibration, corrosion, etc. At the same time, traditional detection methods may not be able to achieve real-time monitoring of pipeline data, and data updates are not timely, resulting in delayed fault detection. Moreover, for the collected data, the existing technology may lack effective intelligent analysis methods, making it difficult to extract valuable information from massive amounts of data and unable to accurately and timely determine whether the pipeline is at risk of leakage. At the same time, existing detection equipment may have limitations in detection range and cannot cover every pipe section and detection point in the entire pipeline system. Some remote or difficult-to-reach areas may not be able to carry out effective detection, leaving safety hazards.

[0005] 2. Existing technologies may lack a scientific and rational risk assessment system, making it impossible to accurately classify the risk level of leakage hazards. Simple threshold judgments are often used, without comprehensive consideration of multiple factors such as the pipeline material, the conveying medium, and the surrounding environment. This leads to inaccurate assessments of leakage hazards, which may overestimate or underestimate the risk level, thereby affecting the formulation and implementation of emergency measures. At the same time, when evaluating the effectiveness of pipeline repairs, existing technologies may rely primarily on manual experience and judgment, lacking quantitative evaluation indicators and scientific calculation methods. This makes the evaluation results of the repair effect subjective and uncertain, making it difficult to accurately determine whether the repair was successful. This may lead to incomplete repairs and cause secondary leaks and other problems.

[0006] 3. Existing technologies may experience delayed response when leaks are discovered. Once a leak occurs, emergency measures cannot be promptly initiated, leading to a wider leak and increased losses. Failure to promptly reduce flow or pressure or implement plugging measures in the early stages of a leak can exacerbate the situation. Furthermore, existing emergency response mechanisms may lack effective coordination and collaboration, resulting in poor communication between departments and delayed resource allocation. When handling a leak, each department may operate independently, failing to achieve a coordinated response, hindering rescue efficiency and effectiveness. For example, firefighting, environmental protection, and emergency management departments may fail to share information and coordinate actions in a timely manner, resulting in delays in rescue efforts. During the emergency response process, existing technologies may not be able to allocate resources appropriately based on the risk level of the leak. This can lead to over-concentration or under-concentration of resources, resulting in wasted resources and ineffective rescue efforts. For example, excessive human and material resources may be invested in low-risk leaks, while insufficient rescue equipment and personnel may be available for high-risk leaks.

[0007] 4. Existing technologies may lack effective feedback mechanisms during pipeline repairs, preventing timely monitoring of repair results and existing issues. Construction teams may adhere to established repair plans but fail to adjust and optimize them based on actual conditions, resulting in inefficient repairs and even multiple attempts failing to resolve the problem. Furthermore, when repairs are unsatisfactory, existing technologies may lack comprehensive backup plans and data support. This inability to quickly develop appropriate remedial measures or draw lessons from historical data leaves them helpless in tackling complex repair issues, increasing risks to pipeline operations. Summary of the Invention

[0008] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide an energy-saving pipeline leakage detection system based on the Internet of Things.

[0009] In order to solve the above technical problems, the present invention adopts the following technical solutions: The present invention provides an energy-saving pipeline leakage detection system based on the Internet of Things, including: a pipeline leakage judgment module: used to obtain the pipe data, gas data and pipe body data corresponding to each pipeline and each pipe section of the target chemical enterprise at the current moment, and then judge whether each pipeline and each pipe section of the target chemical enterprise will have a leakage failure.

[0010] Leakage hazard risk level assessment module: When a leakage failure occurs in a certain section of a pipeline of a target chemical enterprise, it is used to assess the leakage hazard risk level corresponding to the target chemical enterprise's pipeline and section, and analyze the corresponding emergency measures for the target chemical enterprise's pipeline and section.

[0011] Emergency linkage response mechanism analysis module: used to analyze the emergency linkage response mechanism of the area corresponding to the pipeline section of the target chemical enterprise according to the leakage hazard risk level corresponding to the pipeline section of the target chemical enterprise.

[0012] Repair feedback analysis module: It is used to evaluate the repair effect of a certain section of a pipeline of the target chemical enterprise after the repair of the leakage fault is completed. If the repair effect of the certain section of the pipeline of the target chemical enterprise is not good, the repair feedback analysis of the certain section of the pipeline of the target chemical enterprise is carried out.

[0013] The beneficial effects of the present invention are as follows: 1. The embodiment of the present invention, with the help of the pipeline leakage judgment module, comprehensively collects multi-dimensional data such as the inside of the pipe, gas and pipe body, and then obtains an accurate pipeline leakage assessment value through professional analysis models and calculation methods. This multi-source data fusion method can significantly improve the accuracy and timeliness of pipeline leakage fault prediction compared to traditional single parameter detection, and effectively reduce the probability of missed reports and false alarms. For example, by comprehensively considering multiple factors such as pressure value, upstream and downstream flow difference, and benzene concentration, it can more comprehensively reflect the actual operating conditions of the pipeline and detect potential leakage hazards in advance. At the same time, the Internet of Things technology is used to realize real-time monitoring of various pipeline parameters, which can capture subtle changes in data in a timely manner. At the same time, the data analysis unit and the evaluation value analysis unit in the system can quickly process and intelligently analyze massive amounts of data, providing a scientific basis for subsequent decision-making.

[0014] 2. In the embodiment of the present invention, the leakage hazard risk level assessment module accurately divides the leakage hazard risk level into three levels: Level I, Level II, and Level III based on the pipeline leakage assessment value. This hierarchical assessment method helps enterprises and relevant departments to clearly understand the severity of the leakage, so as to take corresponding emergency measures in a targeted manner to avoid waste and shortage of resources. For Level III leakage with lower hazard risk, relatively mild measures can be taken, such as reducing flow and pressure, and arranging maintenance within a certain period of time; while for Level I leakage with higher hazard risk, emergency measures such as cutting off the connection and stopping transportation must be taken quickly. At the same time, in the repair effect evaluation link, the system calculates the repair effect evaluation value by obtaining key parameters such as weld flaw detection pass rate and wall thickness deviation, and compares it with the set standard range. This quantitative assessment method makes the judgment of the repair effect more objective and accurate, and avoids the subjectivity and uncertainty of manual experience judgment.

[0015] 3. In this embodiment of the present invention, the emergency linkage response mechanism analysis module develops a detailed and targeted emergency linkage response plan based on the leakage hazard risk level. Different levels of risk correspond to different warning release scopes, personnel evacuation strategies, and resource allocation measures, ensuring that various departments can work together efficiently and quickly respond to leakage accidents. When a Level I leakage accident occurs, the system can directly report it to the provincial emergency office, trigger a regional alarm, mobilize high-speed rail, public transportation and other resources for personnel evacuation, and coordinate the provincial hazardous chemicals emergency rescue team and environmental protection department to carry out cross-regional rescue and joint prevention and control of water quality. Once a leakage fault is detected or the repair effect is unsatisfactory, the system can quickly initiate corresponding emergency measures and feedback mechanisms. For example, when the repair effect is unsatisfactory, the sensor encryption monitoring mechanism is immediately activated, the data collection frequency is increased, and a mandatory re-inspection instruction is sent to the management terminal, requiring the construction team to conduct timely testing and verification. This rapid response capability can effectively reduce the duration and scope of the leakage accident, reduce the economic losses of the enterprise and the harm to the environment.

[0016] 4. In this embodiment of the present invention, the repair feedback analysis module can provide detailed feedback analysis and countermeasures when the repair effect is unsatisfactory. Through encrypted monitoring and mandatory re-inspections, problems in the repair process can be promptly discovered and targeted improvements can be made. If the qualified standards are still not met after multiple repairs, the system will trigger a pipeline decommissioning warning and initiate a backup pipeline switching plan to ensure that the company's production operations are not significantly affected. At the same time, the system will accumulate a large amount of fault data, repair records, and evaluation results during operation. This data can provide valuable experience reference for enterprises. By analyzing and summarizing historical data, enterprises can continuously optimize pipeline maintenance and management strategies and improve pipeline safety and reliability. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. 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 paying any creative work.

[0018] Figure 1 This is a schematic diagram of the system module connection of the present invention. DETAILED DESCRIPTION

[0019] 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 creative efforts are within the scope of protection of the present invention.

[0020] The present invention is implemented as follows Figure 1 As shown, an energy-saving pipeline leakage detection system based on the Internet of Things includes: a pipeline leakage judgment module, a leakage hazard risk level assessment module, an emergency linkage response mechanism analysis module and a repair feedback analysis module.

[0021] The leakage hazard risk level assessment module is connected to the pipeline leakage judgment module and the emergency linkage response mechanism analysis module respectively, and the emergency linkage response mechanism analysis module is connected to the repair feedback analysis module.

[0022] Pipeline leakage judgment module: used to obtain the pipe data, gas data and pipe body data corresponding to each pipeline section of the target chemical enterprise at the current moment, and then judge whether leakage failure will occur in each pipeline section of the target chemical enterprise.

[0023] In a specific embodiment, the pipeline leakage judgment module further includes a pipeline data analysis unit and a pipeline leakage assessment value analysis unit.

[0024] The pipeline data analysis unit is used to analyze the in-pipe data, gas data and pipe body data corresponding to each section of each pipeline of the target chemical enterprise, the in-pipe data including the pressure value, upstream and downstream flow difference and pressure change rate corresponding to each detection point, the gas data including the benzene concentration, combustible gas LEL value and gas diffusion rate corresponding to each detection point, and the pipe body data including the temperature change rate, vibration frequency and vibration acceleration corresponding to each detection point, and then obtain the in-pipe leakage assessment value, gas leakage assessment value and pipe body leakage assessment value corresponding to each section of each pipeline of the target chemical enterprise.

[0025] It should be noted that high-precision pressure sensors are installed at various inspection points along the pipeline. These sensors can sense the pressure of the fluid within the pipeline in real time and convert the pressure signal into an electrical signal. The sensors transmit the electrical signal to a data acquisition device, which converts the analog-to-digital signal into a digital pressure value. The data acquisition device collects the pressure sensor data at a specific sampling frequency and then transmits the data to the monitoring center via wired communication. Flow measurement devices such as electromagnetic flowmeters, vortex flowmeters, and ultrasonic flowmeters are installed upstream and downstream of the pipeline. For example, electromagnetic flowmeters are based on Faraday's law of electromagnetic induction: when a conductive liquid flows in a magnetic field, it generates an induced electromotive force. The magnitude of this induced electromotive force is measured to determine the fluid flow rate. After the upstream and downstream flow data are transmitted to the monitoring center, software calculates the difference between the two values ​​to obtain the upstream and downstream flow rate difference. The monitoring center's software system uses the collected pressure data to calculate the pressure change rate by calculating the ratio of the pressure difference between adjacent time points to the time interval.

[0026] It should also be noted that specialized BTEX gas sensors are used. Semiconductor gas sensors detect gas concentration based on the principle that the electrical properties of semiconductor materials change when they come into contact with BTEX gases. The sensor converts the detected gas concentration signal into an electrical signal and transmits it to a data acquisition device. Catalytic combustion combustible gas detectors use a catalytic combustion method. When combustible gas comes into contact with the catalyst in the detector and burns, heat is generated, causing the detector's resistance to change. This resistance change is measured to determine the combustible gas concentration and convert it into an LEL value. The detector transmits the measured data to the monitoring system. A device that utilizes the principle of laser scattering measures the gas diffusion rate. This device emits a laser into the gas diffusion area and, by measuring the scattering of the laser in the gas, analyzes the speed and direction of the gas molecules, thereby determining the gas diffusion rate.

[0027] It is important to note once again that temperature sensors, such as thermocouples and thermistors, are installed at the detection points of the pipeline. Thermocouples are based on the thermoelectric effect. When the temperatures at both ends are different, a thermoelectric potential is generated, and the temperature is determined by measuring the thermoelectric potential. Thermistors use the property that the resistance of metal or semiconductor materials changes with temperature to measure temperature. The data logger regularly collects data from the temperature sensor, and the software system of the monitoring center calculates the ratio of the temperature difference between adjacent time points to the time interval to obtain the temperature change rate. Vibration sensors such as accelerometers are used to measure the vibration of the pipeline. Accelerometers can measure the acceleration of pipeline vibration, and the vibration velocity can be obtained by integrating the acceleration signal.

[0028] The pipeline leakage assessment value analysis unit is used to analyze the pipeline leakage assessment value corresponding to each pipeline section of the target chemical enterprise based on the pipeline leakage assessment value, gas leakage assessment value and pipe body leakage assessment value corresponding to each pipeline section of the target chemical enterprise.

[0029] In a specific embodiment, the analysis obtains the pipe leakage assessment value, gas leakage assessment value, and pipe body leakage assessment value corresponding to each pipe section of each pipeline of the target chemical enterprise. The specific analysis process is as follows:

[0030] S1. The pressure value, upstream and downstream flow difference, pressure change rate, benzene series concentration, combustible gas LEL value, gas diffusion rate, temperature change rate, vibration frequency and vibration acceleration corresponding to each detection point of each pipeline section of the target chemical enterprise are recorded as A qwe 、B qwe 、C qwe 、D qwe 、E qwe 、F qwe , G qwe 、H qwe and K qwe , and normalized, where q represents the number corresponding to each pipeline, q = 1, 2 ... u, u is a positive integer, w represents the number corresponding to each pipe section, w = 1, 2 ... n, n is a positive integer, e represents the number corresponding to each detection point, e = 1, 2 ... m, m is a positive integer, and m is also the set of detection points;

[0031] S2. Input the pressure value, upstream and downstream flow difference, and pressure change rate corresponding to each detection point of each pipeline section of the target chemical enterprise into the pipeline leakage assessment value analysis model. After calculation and analysis by the pipeline leakage assessment value analysis model, the pipeline leakage assessment value Ω corresponding to each pipeline section of the target chemical enterprise is finally output. qw .

[0032] It should be noted that the analysis process of the internal leakage assessment value corresponding to each pipeline section of the target chemical enterprise is as follows: the pressure value, upstream and downstream flow difference, and pressure change rate corresponding to each detection point of each pipeline section of the target chemical enterprise are substituted into the analysis formula Obtain the in-pipe leakage assessment value corresponding to each pipeline section of the target chemical enterprise.

[0033] S3. Enter the benzene series concentration, combustible gas LEL value, and gas diffusion rate corresponding to each detection point of each pipeline section of the target chemical enterprise into the gas leakage assessment value analysis model. After calculation and analysis by the gas leakage assessment value analysis model, the gas leakage assessment value Ξ corresponding to each pipeline section of the target chemical enterprise is finally output. qw .

[0034] It should be noted that the gas leakage assessment value corresponding to each pipeline section of the target chemical enterprise is obtained by analyzing the gas leakage assessment value corresponding to each pipeline section of the target chemical enterprise according to the above-mentioned analysis process.

[0035] S4. Input the temperature change rate, vibration frequency, and vibration acceleration corresponding to each detection point of each pipeline section of the target chemical enterprise into the pipe body leakage assessment value analysis model. After calculation and analysis by the pipe body leakage assessment value analysis model, the pipe body leakage assessment value Ψ corresponding to each pipeline section of the target chemical enterprise is finally output. qw .

[0036] It should be noted that the pipe body leakage assessment value corresponding to each pipe section of each pipeline of the target chemical enterprise is obtained by analyzing the pipe leakage assessment value corresponding to each pipe section of each pipeline of the target chemical enterprise according to the above-mentioned analysis process.

[0037] In a specific embodiment, the analysis obtains the pipeline leakage assessment value corresponding to each pipeline section of the target chemical enterprise. The specific analysis process is as follows: the pipeline leakage assessment value Ω corresponding to each pipeline section of the target chemical enterprise is converted into qw , gas leakage assessment value Ξ qw and pipe leakage assessment value Ψ qw , substitute into the calculation formula: The pipeline leakage assessment value φ corresponding to each pipeline section of the target chemical enterprise is obtained qw ,in, They are the maximum value of in-pipe leakage assessment value, the maximum value of gas leakage assessment value, and the maximum value of pipe body leakage assessment value corresponding to the leakage failures of each pipeline section of the target chemical enterprise in the historical period. μ1, μ2, and μ3 are the weight factors corresponding to the in-pipe leakage assessment value, the gas leakage assessment value, and the pipe body leakage assessment value of the pipeline section of the target chemical enterprise, respectively.

[0038] It should be noted that experts in fields such as chemical engineering, pipeline engineering, and safety assessment were organized to draw upon their extensive knowledge and practical experience to subjectively assess the importance of internal pipeline leakage, gas leakage, and pipe leakage to the overall pipeline leakage risk. Through workshops and questionnaires, these experts were able to determine their respective appropriate weightings. The opinions of these experts were then combined and averaged to determine the final weighting factors.

[0039] In a specific embodiment, the judgment of whether leakage failure will occur in each pipeline section of the target chemical enterprise is as follows: the pipeline leakage assessment value corresponding to each pipeline section of the target chemical enterprise is compared with the pipeline leakage assessment value corresponding to the set standard pipe section. If the pipeline leakage assessment value corresponding to a certain pipe section of a certain pipeline of the target chemical enterprise is greater than or equal to the pipeline leakage assessment value corresponding to the set standard pipe section, it means that a leakage failure will occur in the certain pipe section of the certain pipeline of the target chemical enterprise. If the pipeline leakage assessment value corresponding to a certain pipe section of a certain pipeline of the target chemical enterprise is less than the pipeline leakage assessment value corresponding to the set standard pipe section, it means that no leakage failure will occur in the certain pipe section of the certain pipeline of the target chemical enterprise.

[0040] Leakage hazard risk level assessment module: When a leakage failure occurs in a certain section of a pipeline of a target chemical enterprise, it is used to assess the leakage hazard risk level corresponding to the target chemical enterprise's pipeline and section, and analyze the corresponding emergency measures for the target chemical enterprise's pipeline and section.

[0041] In a specific embodiment, the leakage hazard risk level corresponding to the pipeline section of the target chemical enterprise is evaluated, and the specific evaluation process is as follows: Z1. If a leakage failure occurs in a pipeline section of the target chemical enterprise, and the pipeline leakage assessment value corresponding to the pipeline section of the target chemical enterprise is greater than the pipeline leakage assessment value corresponding to the set standard section by less than 5%, then the leakage hazard risk level corresponding to the pipeline section of the target chemical enterprise is evaluated as Level III.

[0042] Z2. If a leakage failure occurs in a certain section of a pipeline of the target chemical enterprise, and the pipeline leakage assessment value corresponding to the pipeline section of the target chemical enterprise is between 5% and 10% greater than the pipeline leakage assessment value corresponding to the set standard section, then the leakage hazard risk level corresponding to the pipeline section of the target chemical enterprise is assessed to be Level II.

[0043] Z3. If a leakage failure occurs in a certain section of a pipeline of the target chemical enterprise, and the pipeline leakage assessment value corresponding to the pipeline section of the target chemical enterprise is more than 10% greater than the pipeline leakage assessment value corresponding to the set standard section, then the leakage hazard risk level corresponding to the pipeline section of the target chemical enterprise is assessed to be Level I.

[0044] In a specific embodiment, the emergency measures corresponding to the pipeline section of the target chemical enterprise are analyzed, and the specific analysis process is as follows: X1. If the leakage hazard risk level corresponding to a certain pipeline section of the target chemical enterprise is Level III, the flow rate of the pipeline section of the target chemical enterprise is reduced by 15%, the pressure in the section is reduced by 0.2 MPa, and maintenance personnel are arranged to perform inspection within 24 hours after the leakage is discovered.

[0045] X2. If the leakage hazard risk level of a certain section of a pipeline of the target chemical enterprise is Level II, half of the branch valves of the pipeline section of the target chemical enterprise will be closed to reduce the flow of the section by 35% and the pressure in the section by 0.4 MPa. Maintenance personnel will be immediately organized to arrive at the site for repair within 12 hours.

[0046] X3. If the leakage hazard risk level of a certain section of a pipeline of the target chemical enterprise is Level I, the connection between the section of the pipeline of the target chemical enterprise and other parts shall be quickly cut off, the material transportation of the section shall be completely stopped, the flow rate shall be reduced to 0 cubic meters / hour, and the pressure in the section shall be reduced to below 0.1MPa within 30 minutes through the pressure relief device. The emergency plan shall be activated immediately, and maintenance personnel and professional equipment shall arrive at the scene within 6 hours to carry out emergency repair work.

[0047] Emergency linkage response mechanism analysis module: used to analyze the emergency linkage response mechanism of the area corresponding to the pipeline section of the target chemical enterprise according to the leakage hazard risk level corresponding to the pipeline section of the target chemical enterprise.

[0048] In one specific embodiment, the emergency response mechanism for the region corresponding to the pipeline segment of the target chemical enterprise is analyzed. The specific analysis process is as follows: Y1. If the leakage hazard risk level for a pipeline segment of the target chemical enterprise is Level III, an early warning is issued: The target enterprise's monitoring system sends a Level III risk warning to the local emergency management bureau and environmental protection bureau, including the leak location, medium, and pressure / flow adjustment parameters. A "local alert" notification is broadcast, and a 50-meter safety zone is demarcated around the pipeline segment of the target chemical enterprise. Departmental response: The fire brigade prepares light leak-stopping equipment and stands by. The environmental protection bureau increases the frequency of air quality monitoring within a 1-kilometer radius to once every two hours.

[0049] Y2. If the leakage hazard risk level of a certain section of a pipeline of the target chemical enterprise is Level II, the early warning will be upgraded: the target enterprise will trigger a Level II alarm to the municipal emergency command center, and simultaneously transmit the closing status of the branch valve and the real-time data of the flow rate drop, and activate the "partial evacuation" plan. Residents within 200 meters downwind of the target chemical enterprise and the pipeline section will be notified via SMS / APP to evacuate to the designated area. Resource allocation: The Emergency Management Bureau will coordinate the hazardous chemical transportation fleet to reserve adsorption materials, including 5 tons of activated carbon. The traffic police department will implement one-way traffic control on the main roads around the pipeline section of the target chemical enterprise to ensure that the rescue channel is unobstructed.

[0050] Y3. If the leakage hazard risk level of a certain section of a pipeline of the target chemical enterprise is Level I, the whole-region emergency will be activated: the target enterprise will directly report to the provincial emergency office, and the regional alarm of satellite positioning will be triggered simultaneously, covering 5 kilometers around the section of the pipeline of the target chemical enterprise. A "full evacuation order" will be issued through emergency broadcasting, and cross-regional resource dispatch of high-speed rail / bus free evacuation lines will be activated. The provincial hazardous chemicals emergency rescue team will be called, the Environmental Protection Department will initiate cross-basin water quality joint prevention and control, and downstream water plants will switch to backup water sources.

[0051] Repair feedback analysis module: It is used to evaluate the repair effect of a certain section of a pipeline of the target chemical enterprise after the repair of the leakage fault is completed. If the repair effect of the certain section of the pipeline of the target chemical enterprise is not good, the repair feedback analysis of the certain section of the pipeline of the target chemical enterprise is carried out.

[0052] In a specific embodiment, the evaluation of the repair effect of the target chemical enterprise's pipeline section is performed as follows: V1. Obtain the weld flaw detection pass rate and wall thickness deviation corresponding to a certain pipeline section of the target chemical enterprise, and record them as H respectively. qw and R qw , into the calculation formula The repair effect evaluation value corresponding to the pipeline section of the target chemical enterprise is obtained, where H′ and R′ are the standard weld flaw detection pass rate and standard wall thickness deviation corresponding to the set pipeline section, respectively, and ΔR is the original design wall thickness.

[0053] It should be noted that by incorporating the weld flaw detection pass rate and wall thickness deviation into the formula to calculate the repair effect evaluation value, an objective and quantitative measurement standard is provided for the pipeline repair effect, which changes the previous situation of relying on subjective judgment and makes the evaluation results more scientific and accurate.

[0054] Accurate measurement: The formula comprehensively considers the difference between the weld flaw detection pass rate and the standard value, as well as the degree of deviation of the wall thickness from the standard. It can accurately measure the fit between the repair work and the ideal standard and accurately reflect the repair effect.

[0055] V2, and compare the repair effect evaluation value corresponding to the pipeline section of the target chemical enterprise with the repair effect evaluation value interval corresponding to the set standard pipe section. If the repair effect evaluation value corresponding to the pipeline section of the target chemical enterprise is within the repair effect evaluation value interval corresponding to the set standard pipe section, then the repair effect of the pipeline section of the target chemical enterprise is evaluated to be qualified; if the repair effect evaluation value corresponding to the pipeline section of the target chemical enterprise is not within the repair effect evaluation value interval corresponding to the set standard pipe section, then the repair effect of the pipeline section of the target chemical enterprise is evaluated to be unqualified.

[0056] In a specific embodiment, the analysis of the repair feedback of the pipeline section of the target chemical enterprise is carried out, and the specific analysis process is as follows: if the repair effect of the pipeline section of the target chemical enterprise is assessed to be unqualified, the sensor encryption monitoring mechanism is activated, and the collection frequency of pressure, flow, and gas concentration parameters is increased from minutes to seconds. The management terminal simultaneously receives a mandatory re-inspection instruction, requiring the construction team to complete the core indicator detection of air tightness and structural strength within 1 hour after the remedial measures are implemented, and upload the data to the system for verification. If the qualified standard is still not met after 3 repairs, the system will trigger a pipeline decommissioning warning, automatically retrieve the redundant pipeline layout diagram, activate the backup pipeline switching plan, complete the medium transportation path migration within 6 hours, and generate a complete report including fault tracing, repair records and decommissioning recommendations.

[0057] The above content is merely an example and explanation of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. An energy-saving pipeline leakage detection system based on Internet of Things, characterized in that: include: Pipeline leakage judgment module: used to obtain the pipe data, gas data and pipe body data corresponding to each pipeline section of the target chemical enterprise at the current moment, and then judge whether each pipeline section of the target chemical enterprise will have a leakage fault; Leakage hazard risk level assessment module: When a leakage failure occurs in a certain pipeline section of a target chemical enterprise, it is used to assess the leakage hazard risk level corresponding to the target chemical enterprise's pipeline section and analyze the corresponding emergency measures for the target chemical enterprise; Emergency linkage response mechanism analysis module: used to analyze the emergency linkage response mechanism for the area corresponding to the pipeline section of the target chemical enterprise based on the leakage hazard risk level of the pipeline section of the target chemical enterprise; Repair feedback analysis module: It is used to evaluate the repair effect of a certain section of a pipeline of the target chemical enterprise after the repair of the leakage fault is completed. If the repair effect of the certain section of the pipeline of the target chemical enterprise is not good, the repair feedback analysis of the certain section of the pipeline of the target chemical enterprise is carried out.

2. The energy-saving pipeline leakage detection system based on Internet of Things according to claim 1 is characterized in that: The pipeline leakage judgment module also includes a pipeline data analysis unit and a pipeline leakage assessment value analysis unit; The pipeline data analysis unit is used to analyze the in-pipe data, gas data and pipe body data corresponding to each section of each pipeline of the target chemical enterprise, the in-pipe data including the pressure value, upstream and downstream flow difference and pressure change rate corresponding to each detection point, the gas data including the benzene series concentration, combustible gas LEL value and gas diffusion rate corresponding to each detection point, and the pipe body data including the temperature change rate, vibration frequency and vibration acceleration corresponding to each detection point, and then obtain the in-pipe leakage assessment value, gas leakage assessment value and pipe body leakage assessment value corresponding to each section of each pipeline of the target chemical enterprise; The pipeline leakage assessment value analysis unit is used to analyze the pipeline leakage assessment value corresponding to each pipeline section of the target chemical enterprise based on the pipeline leakage assessment value, gas leakage assessment value and pipe body leakage assessment value corresponding to each pipeline section of the target chemical enterprise.

3. The energy-saving pipeline leakage detection system based on Internet of Things according to claim 2 is characterized in that: The analysis obtains the internal leakage assessment value, gas leakage assessment value, and pipe body leakage assessment value corresponding to each pipeline section of the target chemical enterprise. The specific analysis process is as follows: S1. The pressure value, upstream and downstream flow difference, pressure change rate, benzene series concentration, combustible gas LEL value, gas diffusion rate, temperature change rate, vibration frequency and vibration acceleration corresponding to each detection point of each pipeline section of the target chemical enterprise are recorded as A qwe 、B qwe 、C qwe 、D qwe 、E qwe 、F qwe , G qwe 、H qwe and K qwe , and normalized, where q represents the number corresponding to each pipeline, q = 1, 2 ... u, u is a positive integer, w represents the number corresponding to each pipe section, w = 1, 2 ... n, n is a positive integer, e represents the number corresponding to each detection point, e = 1, 2 ... m, m is a positive integer, and m is also the set of detection points; S2. Input the pressure value, upstream and downstream flow difference, and pressure change rate corresponding to each detection point of each pipeline section of the target chemical enterprise into the pipeline leakage assessment value analysis model. After calculation and analysis by the pipeline leakage assessment value analysis model, the pipeline leakage assessment value Ω corresponding to each pipeline section of the target chemical enterprise is finally output. qw ; S3. Enter the benzene series concentration, combustible gas LEL value, and gas diffusion rate corresponding to each detection point of each pipeline section of the target chemical enterprise into the gas leakage assessment value analysis model. After calculation and analysis by the gas leakage assessment value analysis model, the gas leakage assessment value Ξ corresponding to each pipeline section of the target chemical enterprise is finally output. qw ; S4. Input the temperature change rate, vibration frequency, and vibration acceleration corresponding to each detection point of each pipeline section of the target chemical enterprise into the pipe body leakage assessment value analysis model. After calculation and analysis by the pipe body leakage assessment value analysis model, the pipe body leakage assessment value Ψ corresponding to each pipeline section of the target chemical enterprise is finally output. qw .

4. The energy-saving pipeline leakage detection system based on Internet of Things according to claim 3 is characterized in that: The analysis obtains the pipeline leakage assessment value corresponding to each pipeline section of the target chemical enterprise. The specific analysis process is as follows: The internal leakage assessment value Ω corresponding to each pipeline section of the target chemical enterprise qw , gas leakage assessment value Ξ qw and pipe leakage assessment value Ψ qw , substitute into the calculation formula: The pipeline leakage assessment value φ corresponding to each pipeline section of the target chemical enterprise is obtained qw ,in, They are the maximum value of in-pipe leakage assessment value, the maximum value of gas leakage assessment value, and the maximum value of pipe body leakage assessment value corresponding to the leakage failures of each pipeline section of the target chemical enterprise in the historical period. μ1, μ2, and μ3 are the weight factors corresponding to the in-pipe leakage assessment value, the gas leakage assessment value, and the pipe body leakage assessment value of the pipeline section of the target chemical enterprise, respectively.

5. The energy-saving pipeline leakage detection system based on Internet of Things according to claim 4 is characterized in that: The specific judgment process for determining whether leakage failure will occur in each pipeline section of the target chemical enterprise is as follows: The pipeline leakage assessment value corresponding to each section of each pipeline of the target chemical enterprise is compared with the pipeline leakage assessment value corresponding to the set standard section. If the pipeline leakage assessment value corresponding to a certain section of a pipeline of the target chemical enterprise is greater than or equal to the pipeline leakage assessment value corresponding to the set standard section, it means that a leakage fault will occur in a certain section of the pipeline of the target chemical enterprise. If the pipeline leakage assessment value corresponding to a certain section of a pipeline of the target chemical enterprise is less than the pipeline leakage assessment value corresponding to the set standard section, it means that no leakage fault will occur in a certain section of the pipeline of the target chemical enterprise.

6. The energy-saving pipeline leakage detection system based on Internet of Things according to claim 5, characterized in that: The specific assessment process for the leakage hazard risk level of the pipeline section of the target chemical enterprise is as follows: Z1. If a leakage fault occurs in a certain section of a pipeline of the target chemical enterprise, and the pipeline leakage assessment value corresponding to the pipeline section of the target chemical enterprise is greater than the pipeline leakage assessment value corresponding to the set standard section by less than 5%, then the leakage hazard risk level corresponding to the pipeline section of the target chemical enterprise is assessed as Level III; Z2. If a leakage fault occurs in a certain section of a pipeline of the target chemical enterprise, and the pipeline leakage assessment value corresponding to the pipeline section of the target chemical enterprise is between 5% and 10% greater than the pipeline leakage assessment value corresponding to the set standard section, the leakage hazard risk level of the pipeline section of the target chemical enterprise is assessed as Level II; Z3. If a leakage failure occurs in a certain section of a pipeline of the target chemical enterprise, and the pipeline leakage assessment value corresponding to the pipeline section of the target chemical enterprise is more than 10% greater than the pipeline leakage assessment value corresponding to the set standard section, then the leakage hazard risk level corresponding to the pipeline section of the target chemical enterprise is assessed to be Level I.

7. The energy-saving pipeline leakage detection system based on Internet of Things according to claim 6 is characterized in that: The emergency measures corresponding to the pipeline section of the target chemical enterprise are analyzed. The specific analysis process is as follows: X1. If the leakage hazard risk level for a certain pipeline section of the target chemical enterprise is Level III, the flow rate of the pipeline section of the target chemical enterprise will be reduced by 15%, the pressure in the section will be reduced by 0.2 MPa, and maintenance personnel will be arranged to inspect and repair the leak within 24 hours after the leak is discovered; X2. If the leakage hazard risk level for a certain pipeline section of the target chemical enterprise is Level II, close half of the branch valves in that pipeline section of the target chemical enterprise, reduce the flow rate in the section by 35%, and reduce the pressure in the section by 0.4 MPa. Immediately organize maintenance personnel to arrive at the site for repair within 12 hours; X3. If the leakage hazard risk level of a certain section of a pipeline of the target chemical enterprise is Level I, the connection between the section of the pipeline of the target chemical enterprise and other parts shall be quickly cut off, the material transportation of the section shall be completely stopped, the flow rate shall be reduced to 0 cubic meters / hour, and the pressure in the section shall be reduced to below 0.1MPa within 30 minutes through the pressure relief device. The emergency plan shall be activated immediately, and maintenance personnel and professional equipment shall arrive at the scene within 6 hours to carry out emergency repair work.

8. The energy-saving pipeline leakage detection system based on Internet of Things according to claim 7 is characterized in that: The analysis of the emergency linkage response mechanism for the area corresponding to the pipeline section of the target chemical enterprise is as follows: Y1. If the leak hazard risk level for a specific pipeline section at a target chemical enterprise is Level III, an early warning will be issued: the target enterprise's monitoring system will send a Level III risk warning to the local emergency management bureau and environmental protection bureau, including the leak location, medium, and pressure / flow adjustment parameters. A "local alert" notification will be broadcast, and a 50-meter safety zone will be established around the target chemical enterprise's pipeline section. Departmental response: The fire brigade will prepare light leak-proof equipment and be on standby. The Environmental Protection Bureau will increase the frequency of air quality monitoring within a 1-kilometer radius to once every two hours. Y2. If the leakage hazard risk level for a certain section of a pipeline at a target chemical enterprise is Level II, an upgraded warning will be implemented: the target enterprise will trigger a Level II alarm to the municipal emergency command center, and the branch valve closure status and real-time flow rate data will be transmitted simultaneously. The "partial evacuation" plan will be initiated, and residents within 200 meters downwind of the target chemical enterprise's pipeline section will be notified via SMS / APP to evacuate to a designated area. Resource allocation will be carried out: the Emergency Management Bureau will coordinate with the hazardous chemical transport fleet to reserve adsorption materials, including 5 tons of activated carbon. The traffic police will implement one-way traffic control on the main roads around the target chemical enterprise's pipeline section to ensure unobstructed rescue routes. Y3. If the leakage hazard risk level corresponding to a certain section of a pipeline of the target chemical enterprise is Level I, a full-area emergency response will be initiated: the target enterprise will directly report to the provincial emergency office, and a regional satellite positioning alarm will be triggered simultaneously, covering a 5-kilometer area around the section of the pipeline of the target chemical enterprise. A "full evacuation order" will be issued through emergency broadcasting, and cross-regional resource dispatch of high-speed rail / bus free evacuation lines will be initiated. The provincial hazardous chemicals emergency rescue team will be called in, the Environmental Protection Department will initiate cross-basin water quality joint prevention and control, and downstream water plants will switch to backup water sources.

9. The energy-saving pipeline leakage detection system based on Internet of Things according to claim 1, characterized in that: The evaluation of the repair effect of the pipeline section of the target chemical enterprise is carried out, and the specific evaluation process is as follows: V1. Obtain the weld flaw detection pass rate and wall thickness deviation corresponding to a certain section of a pipeline in the target chemical enterprise, and record them as H respectively. qw and R qw , into the calculation formula The repair effect evaluation value corresponding to the pipeline section of the target chemical enterprise is obtained, where H′ and R′ are the standard weld flaw detection pass rate and standard wall thickness deviation corresponding to the set pipeline section, and ΔR is the original design wall thickness; V2, and compare the repair effect evaluation value corresponding to the pipeline section of the target chemical enterprise with the repair effect evaluation value interval corresponding to the set standard pipe section. If the repair effect evaluation value corresponding to the pipeline section of the target chemical enterprise is within the repair effect evaluation value interval corresponding to the set standard pipe section, then the repair effect of the pipeline section of the target chemical enterprise is evaluated to be qualified; if the repair effect evaluation value corresponding to the pipeline section of the target chemical enterprise is not within the repair effect evaluation value interval corresponding to the set standard pipe section, then the repair effect of the pipeline section of the target chemical enterprise is evaluated to be unqualified.

10. The energy-saving pipeline leakage detection system based on Internet of Things according to claim 9, characterized in that: The analysis of the repair feedback for the pipeline section of the target chemical enterprise is as follows: If the repair effect of the pipeline section of the target chemical enterprise is assessed to be unsatisfactory, the sensor encryption monitoring mechanism will be activated, and the frequency of collecting pressure, flow, and gas concentration parameters will be increased from minutes to seconds. The management terminal will simultaneously receive a mandatory re-inspection instruction, requiring the construction team to complete the core indicator testing of air tightness and structural strength within 1 hour after the implementation of the remedial measures, and upload the data to the system for verification. If the qualified standards are still not met after three repairs, the system will trigger a pipeline decommissioning warning, automatically retrieve the redundant pipeline layout diagram, activate the backup pipeline switching plan, complete the medium transportation path migration within 6 hours, and generate a complete report including fault tracing, repair records, and decommissioning recommendations.

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