A steam pipeline anomaly monitoring method, device and system

Abstract

The application discloses a kind of steam pipeline anomaly monitoring method, device and system.The method is executed by processing module, comprising: obtaining the first pipeline steam flow collected by steam flow meter in steam metering module;And, obtain the pipeline area ambient temperature collected by environmental parameter monitoring sensor, and obtain the pipeline surface temperature collected by surface temperature sensing module;And, obtain the first steam pressure collected by preposed pressure sensor and the first steam temperature collected by preposed temperature sensor;And, obtain the second steam pressure collected by flowmeter pressure sensor in steam metering module and the second steam temperature collected by flowmeter temperature sensor in steam metering module;According to first pipeline steam flow, pipeline area ambient temperature, pipeline surface temperature, first steam pressure, first steam temperature, second steam pressure and second steam temperature, carry out abnormal monitoring to steam pipeline.

Description

Technical Field

[0001] This invention relates to the field of industrial process measurement and automation technology, and in particular to a method, device and system for monitoring abnormalities in steam pipelines. Background Technology

[0002] Steam, as a key secondary energy source and energy carrier, is widely used in process industries such as district heating, power generation, coal chemical industry, petrochemical industry, and textile printing and dyeing. The accuracy of its metering directly affects the fairness of trade settlements, precise energy consumption control, production cost accounting, and process safety optimization for enterprises. Due to the complexity of steam's physical properties, such as phase change, sudden pressure and temperature changes, dryness variations, and parameter coupling, as well as the harsh operating conditions in industrial settings, achieving long-term, stable, and high-precision online metering remains a prominent challenge for the industry.

[0003] In existing pipeline steam anomaly detection processes, the metering system operates as a "black box," making it difficult to detect slow drift or sudden inaccuracies. Furthermore, during steam flow analysis, the various detection components or systems operate independently, resulting in low efficiency and accuracy in anomaly detection analysis and hindering rapid response to anomalies.

[0004] Therefore, how to achieve abnormal monitoring of parameters or components such as steam flow in steam pipelines, realize automated fault diagnosis, and improve the reliability, comprehensiveness, and accuracy of abnormal monitoring has become an urgent problem to be solved. Summary of the Invention

[0005] This invention provides a method, device, and system for monitoring abnormalities in steam pipelines, thereby achieving intelligent and automated monitoring of abnormalities in steam pipelines and improving the reliability, comprehensiveness, and accuracy of abnormality monitoring.

[0006] According to one aspect of the present invention, a method for monitoring abnormalities in a steam pipeline is provided, applied to a steam pipeline abnormality monitoring system. The system includes a processing module, a steam metering module, an environmental parameter monitoring sensor, a pre-pressure sensor, a pre-temperature sensor, and a surface temperature sensing module. The pre-pressure sensor and the pre-temperature sensor are sequentially distributed along the steam transmission direction on the outer surface of the steam pipeline. The steam metering module is located downstream of the pre-temperature sensor along the steam transmission direction. The surface temperature sensing module is disposed on the outer side of the steam pipeline. The environmental parameter monitoring sensor is disposed within a preset distance range outside the steam pipeline. The steam metering module includes a steam flow meter, a flow meter pressure sensor, and a flow meter temperature sensor arranged sequentially along the steam transmission direction. The processing module is electrically connected to the steam metering module, the environmental parameter monitoring sensor, the pre-pressure sensor, the pre-temperature sensor, and the surface temperature sensing module, respectively. The method is executed by the processing module and includes: Obtain the first pipeline steam flow rate collected by the steam flow meter in the steam metering module; and, The system acquires the ambient temperature of the pipeline area collected by the environmental parameter monitoring sensor, and the surface temperature of the pipeline collected by the surface temperature sensing module; and, Acquire the first steam pressure obtained by the pre-pressure sensor and the first steam temperature obtained by the pre-temperature sensor; and, The second steam pressure and the second steam temperature are obtained from the flow meter pressure sensor and the flow meter temperature sensor in the steam metering module, respectively. Anomalies in the steam pipeline are monitored based on the steam flow rate of the first pipeline, the ambient temperature of the pipeline area, the surface temperature of the pipeline, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature.

[0007] According to another aspect of the present invention, a steam pipeline anomaly monitoring device is provided, applied to a steam pipeline anomaly monitoring system. The system includes a processing module, a steam metering module, an environmental parameter monitoring sensor, a pre-pressure sensor, a pre-temperature sensor, and a surface temperature sensing module. The pre-pressure sensor and the pre-temperature sensor are sequentially distributed on the outer surface of the steam pipeline along the steam transmission direction. The steam metering module is located downstream of the pre-temperature sensor along the steam transmission direction. The surface temperature sensing module is disposed on the outside of the steam pipeline. The environmental parameter monitoring sensor is disposed within a preset distance range outside the steam pipeline. The steam metering module includes a steam flow meter, a flow meter pressure sensor, and a flow meter temperature sensor arranged sequentially along the steam transmission direction. The processing module is electrically connected to the steam metering module, the environmental parameter monitoring sensor, the pre-pressure sensor, the pre-temperature sensor, and the surface temperature sensing module, respectively. The device is configured in the processing module and includes: The first steam flow acquisition unit is used to acquire the first pipeline steam flow rate collected by the steam flow meter in the steam metering module; and... An ambient temperature acquisition unit is used to acquire the ambient temperature of the pipeline area collected by the environmental parameter monitoring sensor, and to acquire the surface temperature of the pipeline from the surface temperature sensing module; and, The first pressure and temperature determination unit is used to acquire the first steam pressure collected by the pre-pressure sensor and the first steam temperature collected by the pre-temperature sensor; and... The second pressure and temperature determination unit is used to acquire the second steam pressure collected by the flow meter pressure sensor in the steam metering module and the second steam temperature collected by the flow meter temperature sensor in the steam metering module. The steam pipeline anomaly monitoring unit is used to monitor the steam pipeline for anomalies based on the first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature.

[0008] According to another aspect of the present invention, a steam pipeline anomaly monitoring system is provided. The system includes a processing module, a steam metering module, an environmental parameter monitoring sensor, a pre-pressure sensor, a pre-temperature sensor, and a surface temperature sensing module. The pre-pressure sensor and the pre-temperature sensor are sequentially distributed on the outer surface of the steam pipeline along the steam transmission direction. The steam metering module is located downstream of the pre-temperature sensor along the steam transmission direction. The surface temperature sensing module is disposed on the outer side of the steam pipeline. The environmental parameter monitoring sensor is disposed within a preset distance range outside the steam pipeline. The steam metering module includes a steam flow meter, a flow meter pressure sensor, and a flow meter temperature sensor arranged sequentially along the steam transmission direction. The processing module is electrically connected to the steam metering module, the environmental parameter monitoring sensor, the pre-pressure sensor, the pre-temperature sensor, and the surface temperature sensing module, respectively, and specifically includes: The steam flow meter in the steam metering module is used to collect the flow rate of the steam pipeline to obtain the first pipeline steam flow rate, and transmit the first pipeline steam flow rate to the processing module; The environmental parameter monitoring sensor is used to collect the temperature of the pipeline area of ​​the steam pipeline, obtain the ambient temperature of the pipeline area, and transmit the temperature of the pipeline area to the processing module. The surface temperature sensing module is used to collect the surface temperature of the steam pipe, obtain the surface temperature of the pipe, and transmit the surface temperature of the pipe to the processing module. The pre-pressure sensor is used to collect the pipeline pressure of the steam pipeline, obtain the first steam pressure, and transmit the first steam pressure to the processing module; The front-end temperature sensor is used to collect the pipe temperature of the steam pipe, obtain the first steam temperature, and transmit the first steam temperature to the processing module. The flow meter pressure sensor in the steam metering module is used to collect the pipeline pressure of the steam pipeline, obtain the second steam pressure, and transmit the second steam pressure to the processing module. The flow meter temperature sensor in the steam metering module is used to collect the pipe temperature of the steam pipe, obtain the second steam temperature, and transmit the second steam temperature to the processing module. The processing module is used to monitor the steam pipeline for anomalies based on the acquired first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature.

[0009] The technical solution of this invention acquires the first pipeline steam flow rate collected by the steam flow meter in the steam metering module; the ambient temperature of the pipeline area collected by the environmental parameter monitoring sensor, and the pipeline surface temperature collected by the surface temperature sensing module; the first steam pressure collected by the pre-pressure sensor and the first steam temperature collected by the pre-temperature sensor; and the second steam pressure collected by the flow meter pressure sensor and the second steam temperature collected by the flow meter temperature sensor in the steam metering module. Based on the first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature, the steam pipeline is monitored for anomalies. This achieves intelligent and automated anomaly monitoring of the steam pipeline, improving the reliability, comprehensiveness, and accuracy of anomaly monitoring.

[0010] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a schematic diagram of a steam pipeline anomaly monitoring system provided according to an embodiment of the present invention; Figure 2 This is a flowchart of a steam pipeline anomaly monitoring method provided according to an embodiment of the present invention; Figure 3 This is a schematic diagram of a steam pipeline anomaly monitoring system provided according to an embodiment of the present invention; Figure 4 This is a schematic diagram of the cross-section of a steam pipe according to an embodiment of the present invention; Figure 5 This is a schematic diagram of a steam pipeline anomaly monitoring system provided according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the cross-section of a steam pipe according to an embodiment of the present invention; Figure 7 This is a schematic diagram of a steam pipeline anomaly monitoring device provided according to an embodiment of the present invention. Detailed Implementation

[0013] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0014] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0015] Figure 1 This is a schematic diagram of a steam pipeline anomaly monitoring system provided in an embodiment of the present invention. This embodiment is applicable to situations involving anomaly monitoring or fault diagnosis of steam pipelines. The steam pipeline anomaly monitoring system includes a processing module 10, a steam metering module 11, an environmental parameter monitoring sensor 12, a pre-pressure sensor 13, a pre-temperature sensor 14, and a surface temperature sensing module 15. The pre-pressure sensor 13 and the pre-temperature sensor 14 are sequentially distributed on the outer surface of the steam pipeline along the steam transmission direction. The steam metering module 11 is located downstream of the pre-temperature sensor 14 along the steam transmission direction. The surface temperature sensing module 15 is located on the outside of the steam pipeline. The environmental parameter monitoring sensor 12 is located within a preset distance range outside the steam pipeline. The steam metering module 11 includes a steam flow meter 110, a flow meter pressure sensor 111, and a flow meter temperature sensor 112 arranged sequentially along the steam transmission direction. The processing module 10 is electrically connected to the steam metering module 11, the environmental parameter monitoring sensor 12, the pre-pressure sensor 13, the pre-temperature sensor 14, and the surface temperature sensing module 15, respectively.

[0016] The steam flow meter 110 in the steam metering module 11 is used to collect the flow rate of the steam pipeline to obtain the first pipeline steam flow rate, and transmit the first pipeline steam flow rate to the processing module 10; The environmental parameter monitoring sensor 12 is used to collect the temperature of the pipeline area of ​​the steam pipeline, obtain the ambient temperature of the pipeline area, and transmit the temperature of the pipeline area to the processing module 10. The surface temperature sensing module 15 is used to collect the surface temperature of the steam pipeline, obtain the surface temperature of the pipeline, and transmit the surface temperature of the pipeline to the processing module 10. The pre-pressure sensor 13 is used to collect the pipeline pressure of the steam pipeline, obtain the first steam pressure, and transmit the first steam pressure to the processing module 10; The front-end temperature sensor 14 is used to collect the pipe temperature of the steam pipe, obtain the first steam temperature, and transmit the first steam temperature to the processing module 10. The flow meter pressure sensor 111 in the steam metering module 11 is used to collect the pipeline pressure of the steam pipeline, obtain the second steam pressure, and transmit the second steam pressure to the processing module 10; The flow meter temperature sensor 112 in the steam metering module 11 is used to collect the pipe temperature of the steam pipe, obtain the second steam temperature, and transmit the second steam temperature to the processing module 10. The processing module 10 is used to monitor the steam pipeline for anomalies based on the acquired first pipeline steam flow rate, pipeline area ambient temperature, pipeline surface temperature, first steam pressure, first steam temperature, second steam pressure, and second steam temperature.

[0017] Specifically, the steam metering module 11 consists of a steam flow meter 110, a matching flow meter pressure sensor 111, and a matching flow meter temperature sensor 112. In a preferred embodiment, the steam flow meter 110 is a vortex flow meter, and the flow meter pressure sensor 111 and flow meter temperature sensor 112 are sequentially deployed downstream of the steam flow meter. The steam flow meter 110 is used to measure the volumetric flow rate of steam in the steam pipeline, typically in cubic meters per second (m³). 3 / h. The flow meter pressure sensor 111 is used to measure the steam pressure parameter inside the steam pipe, and the flow meter temperature sensor 112 is used to measure the steam temperature parameter inside the steam pipe. Based on the steam pressure and temperature parameters, the density of the steam to be measured can be accurately calculated, typically in kg / m³. 3 The real-time mass flow rate of the steam is calculated by multiplying the volumetric flow rate of the steam by the steam density, typically expressed in kg / h.

[0018] The environmental parameter monitoring sensor 12 is deployed within a preset distance range outside the steam pipeline. Preferably, the environmental parameter monitoring sensor 12 can be set in an area of ​​about 1m outside the steam pipeline. The environmental parameter monitoring sensor 12 is used to monitor environmental parameters such as wind speed, risk, ambient temperature, humidity, light intensity, electromagnetic intensity, and noise around the steam pipeline in real time.

[0019] The surface temperature sensing module 15 can be located at any position on the outside of the steam pipe, preferably at the middle of the outer wall of the steam pipe, or at the middle position between the front temperature sensor 14 and the steam pressure sensor 111. The surface temperature sensing module 15 is used to collect the surface temperature of the pipe wall of the steam pipe.

[0020] The upstream pressure sensor 13 is used to collect the pipeline pressure parameters caused by the steam flow rate through the steam pipeline; the upstream temperature sensor 14 is used to collect the pipeline temperature parameters of the steam pipeline. The upstream pressure sensor 13 and the upstream temperature sensor 14 are located upstream of the steam flow meter 110. In a preferred embodiment, the distance between the upstream temperature sensor 14 and the steam flow meter 110 can be 40 times D, where D represents the inner diameter of the steel pipe of the steam pipeline; the upstream pressure sensor 13 is located upstream of the upstream temperature sensor 14, and the distance between them can be 1 times D.

[0021] The processing module 10 can be electrically connected via signal cables to the steam flow meter 110, environmental parameter monitoring sensor 12, upstream pressure sensor 13, upstream temperature sensor 14, flow meter pressure sensor 111, flow meter temperature sensor 112, and surface temperature sensing module 15 to receive and analyze detection signals. Furthermore, it can compare different types of real-time data, and it can also compare real-time data of the same type with historical data.

[0022] The processing module 10 can be equipped with advanced data analysis and self-learning algorithms to achieve accurate monitoring and intelligent diagnosis of the steam conveying process. The processing module 10 can not only collect multi-dimensional data in real time, but also, through in-depth data mining and cross-comparison, achieve the ability to autonomously diagnose anomalies and assess the system's health status.

[0023] For example, the processing module 10 can perform trend analysis and anomaly warning. This is achieved by continuously comparing real-time data with stored historical benchmark data. This comparison is not a simple numerical comparison, but rather conducted under the same or similar operating conditions, such as consistent steam flow rate and ambient temperature. For instance, when it is detected that the heat dissipation per unit length of the pipeline is significantly higher than the historical benchmark value under the same steam load, or when the uniformity of temperature distribution along the circumference of the pipeline surface deviates, the module can autonomously determine that the performance of the steam pipeline itself has become abnormal before the steam flow meter shows any abnormality, thereby achieving early warning.

[0024] For example, the processing module 10 can also perform cross-validation and precise localization of anomalies by synchronously comparing and analyzing different types of data. For instance, when an increase in the overall heat dissipation of the pipeline is detected, the processing module 10 will further correlate and analyze the circumferential temperature distribution data of the surface temperature sensor module. If it is also found that the temperature at the top of the steam pipeline is significantly higher than that at the bottom, the cause of the fault can be precisely located from the overall decrease in insulation performance to the indentation or damage of the top insulation, effectively eliminating interference factors such as ambient wind speed and greatly improving the reliability of the diagnostic conclusion.

[0025] For example, processing module 10 can learn autonomously and continuously optimize. Each diagnostic process and its confirmation results, such as maintenance personnel's feedback, are recorded by processing module 10, forming a continuously growing fault case library. Through machine learning algorithms, its diagnostic thresholds and logic are continuously optimized, enabling its ability to identify various abnormal patterns to continuously improve over time—that is, it possesses the ability to evolve autonomously. This allows processing module 10 not only to detect known types of faults but also to identify potential, unknown systemic risks by mining historical abnormal data patterns.

[0026] Figure 2 This is a flowchart illustrating a steam pipeline anomaly monitoring method provided in an embodiment of the present invention. This method can be executed by a steam pipeline anomaly monitoring device, which can be implemented in hardware and / or software. The steam pipeline anomaly monitoring device can be configured within the processing module of a steam pipeline anomaly monitoring system. Figure 2 As shown, the method includes: S210A: Obtain the first pipeline steam flow rate collected by the steam flow meter in the steam metering module.

[0027] S210B acquires the ambient temperature of the pipeline area collected by the environmental parameter monitoring sensor, and acquires the surface temperature of the pipeline collected by the surface temperature sensing module.

[0028] The S210C acquires the first steam pressure obtained from the front pressure sensor and the first steam temperature obtained from the front temperature sensor.

[0029] S210D acquires the second steam pressure obtained by the flow meter pressure sensor in the steam metering module and the second steam temperature obtained by the flow meter temperature sensor in the steam metering module.

[0030] S220. Based on the steam flow rate of the first pipeline, the ambient temperature of the pipeline area, the surface temperature of the pipeline, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature, perform abnormal monitoring of the steam pipeline.

[0031] In one optional embodiment, anomaly monitoring of the steam pipeline is performed based on the first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature. This includes: determining the heat dissipation per unit length of the pipeline based on the pipeline surface temperature and the ambient temperature of the pipeline area; determining the length of the steam pipeline; determining a first enthalpy value based on the first steam pressure and the first steam temperature, and determining a second enthalpy value based on the second steam pressure and the second steam temperature; determining the second pipeline steam flow rate based on the first enthalpy value, the second enthalpy value, the pipeline length, and the heat dissipation per unit length of the pipeline; and performing anomaly monitoring of the steam pipeline based on the first pipeline steam flow rate and the second pipeline steam flow rate.

[0032] For example, heat dissipation per unit length of pipe The determination method can be as follows: in, The heat transfer coefficient is used to dissipate heat. This is the environmental wind speed correction factor; This is a correction factor for ambient humidity. This is the correction factor for ambient light intensity; The surface temperature of the pipe; The ambient temperature of the pipeline area.

[0033] In an optional embodiment, the surface temperature sensing module 15 includes at least one surface temperature sensor 151; the surface temperature sensors 151 are evenly arranged around the steam pipe; the number of surface temperature sensing modules 15 is at least one; the surface temperature sensing modules 15 are evenly arranged sequentially along the steam transmission direction of the steam pipe; correspondingly, the pipe surface temperature is the average surface temperature collected by each surface temperature sensor 151.

[0034] Figure 3 The present invention provides a schematic diagram of a steam pipeline abnormality monitoring system. Preferably, there are 3 surface temperature sensing modules 15, and each surface temperature sensing module 15 has 4 surface temperature sensors 151 arranged in sequence. Figure 4 This is a schematic diagram of a cross-section of a steam pipe provided in an embodiment of the present invention; the four surface temperature sensors are numbered 151-1, 151-2, 151-3, and 151-4, respectively. Correspondingly, the pipe surface temperature... This represents the average surface temperature collected by each surface temperature sensor.

[0035] The length of the steam pipe can be determined in advance by relevant technicians and stored. Preferably, due to the special nature of the system's insulation structure, the heat dissipation in each circumferential direction is equal under normal circumstances within the allowable range of measurement error. Therefore, the length of the steam pipe can be the distance between the pre-sensor temperature 14 and the flow meter temperature sensor 112.

[0036] For example, the total heat dissipation of the system The calculation formula can be found below: Where L represents the length of the steam pipeline.

[0037] For example, the heat lost by the system's steam. The calculation formula can be found below: In the formula, This refers to the steam flow rate flowing inside the pipe, which is also the second pipe steam flow rate that needs to be calculated. The first enthalpy value under vapor conditions is measured by the pre-pressure sensor 13 and the pre-temperature sensor 14. The flow meter pressure sensor 111 and flow meter temperature sensor 112 measure the second enthalpy value under steam conditions.

[0038] According to the law of conservation of energy, the total heat dissipation of the system and the heat lost by the system's steam The values ​​should be equal. Based on this, the steam flow rate in the pipeline can be calculated by using the above formula. The calculation formula is as follows: in, Indicates the steam flow rate in the second pipeline; first enthalpy value. The second enthalpy value can be determined based on the first steam pressure collected by the pre-pressure sensor 13 and the first steam temperature collected by the pre-temperature sensor 14. The second steam pressure can be determined based on the second steam pressure collected by the flow meter pressure sensor 111 and the second steam temperature collected by the flow meter temperature sensor 112.

[0039] In one optional embodiment, the steam pipeline is monitored for anomalies based on the steam flow rates of the first pipeline and the second pipeline, including: determining the steam flow rate difference between the steam flow rates of the first pipeline and the second pipeline; if the steam flow rate difference is within a preset flow rate difference error range, then the steam flow rate of the first pipeline is determined to be abnormal, and the steam metering module is determined to be abnormal.

[0040] The preset flow rate difference error range can be pre-set by relevant technical personnel; for example, the flow rate difference error range can be ±5%.

[0041] If the steam flow difference is within the preset flow difference error range, it is determined that the steam flow in the first pipeline is abnormal, and the steam metering module 11 is also abnormal. The steam flow meter 110 needs to be checked and calibrated.

[0042] In an optional embodiment, the system further includes two multi-function sensor cables 16; each multi-function sensor cable 16 is disposed opposite to the outside of the steam pipe. Figure 5 The diagram shows a structural schematic of a steam pipeline anomaly monitoring system. Correspondingly, the method further includes: acquiring the first unit length heat dissipation and the second unit length heat dissipation collected by each multi-functional sensor cable; determining the first heat dissipation comparison result based on the first unit length heat dissipation and the heat dissipation per unit length of the pipeline; determining the second heat dissipation comparison result based on the second unit length heat dissipation and the heat dissipation per unit length of the pipeline; and performing steam pipeline anomaly monitoring based on the first heat dissipation comparison result and the second heat dissipation comparison result.

[0043] A multi-functional sensor cable 16 is laid on the outer surface of the steam steel pipe. In one optional embodiment, a multi-functional sensor cable is laid close to the upper and lower parts of the steam steel pipe, respectively. The multi-functional sensor cable 16 can be armored and is located between the pre-temperature sensor 14 and the flow meter temperature sensor 112 along the axial direction of the steam steel pipe. Furthermore, the multi-functional sensor cable 16 can detect the heat dissipation per unit length of the steam pipe and the pipe vibration frequency signal, and can also detect the temperature change of the working pipe, that is, detect the temperature drop caused by heat dissipation during the flow of steam in the pipe.

[0044] Each multifunctional sensor cable 16 is arranged opposite to each other on the outside of the steam pipe. The multifunctional sensor cable 16 located above the steam pipe and closer to the environmental parameter monitoring sensor 12 is used as the first functional sensor cable, and the multifunctional sensor cable 16 located below the steam pipe and farther away from the environmental parameter monitoring sensor 12 is used as the second functional sensor cable. The first functional sensor cable and the second functional cable are arranged opposite to each other on the outside of the steam pipe.

[0045] The multi-functional sensor cable 16 can also measure the heat dissipation per unit length of a steam pipe. Let's assume the heat dissipation per unit length collected by the first functional sensor cable is denoted as... The heat dissipation per unit length collected by the second functional sensor cable is denoted as... Because the insulation structure of the steam pipes is consistent, under normal circumstances... and It should be consistent, or within the allowable range of strategy error. Furthermore, the heat dissipation per unit length of the pipe... Theoretically and and The average values ​​are equal, or within the allowable range of measurement.

[0046] Under the conditions of no wind, no sunlight, and humidity at the design level at night, calculate the heat dissipation per unit length of the pipe. The data serves as the baseline. During operation, under varying environmental conditions, the processing module 10 can... and The average value is the same as the baseline data. By comparing the results, correction coefficients for different environmental conditions (such as different wind speeds, different humidity levels, and different light levels) are obtained and a database is formed. Data and multi-functional sensor cable measurement and In comparison, its sensors are easier to replace if problems occur, therefore, after establishing a correction coefficient database, it should be used preferentially. Calculated as heat dissipation. and The data can be used for comparison and monitoring. Is it abnormal?

[0047] In one specific embodiment, the heat dissipation per unit length is measured by two multi-functional sensing cables, one above and one below. and The heat dissipation per unit length of the pipe calculated by the processing module. For comparison, under normal operating conditions, the three values ​​should be equal or within the allowable measurement error range; otherwise, the largest difference is considered abnormal. Therefore, a first heat dissipation difference is determined between the first heat dissipation per unit length and the heat dissipation per unit length of the pipe, and this first heat dissipation difference is used as the first heat dissipation comparison result; and a second heat dissipation difference is determined between the second heat dissipation per unit length and the heat dissipation per unit length of the pipe, and this second heat dissipation difference is used as the second heat dissipation comparison result. If the first heat dissipation comparison result is greater than a preset heat dissipation threshold, then the first heat dissipation per unit length is determined. Abnormal. For example, the preset heat dissipation threshold is 5 W / m, assuming... =178W / m, =159W / m, =162 W / m, then An anomaly could indicate damage to the insulation in the top area, or it could be due to environmental factors such as rain or snow accumulation on the roof. An inspection should be conducted to confirm the problem.

[0048] If the second heat dissipation comparison result is greater than the preset heat dissipation threshold, then the second heat dissipation per unit length is determined. Abnormal. For example... and Equal or within the allowable range of measurement error, but Significantly lower and For example, the preset heat dissipation threshold is 5 W / m, assuming =158W / m, =123 W / m, =149 W / m, then An anomaly is detected, which most likely indicates that condensate is not draining from the bottom of the pipe in a timely manner. The condensate creates thermal resistance at the bottom of the pipe, reducing heat dissipation. Maintaining this state for an extended period can damage the flow meter and the pipe. The processing module 10 will notify the operation and management personnel to check the working status of the drainage equipment and troubleshoot the problem.

[0049] It should be noted that if the temperature measured by the pre-sensor 14 is higher than the temperature measured by the flow meter temperature sensor 112, then the temperature measured by the multi-function sensor cable should be consistent with the temperature measured by the pre-sensor 14 within the allowable measurement error range, and the difference between the two should also be consistent with the temperature difference measured by the multi-function sensor cable within the allowable measurement error range. Otherwise, comparing the temperature measured by the multi-function sensor cable will reveal an abnormal pre-sensor or flow meter temperature sensor. In this case, the faulty sensor should be checked and replaced.

[0050] In one optional embodiment, the first pipe temperature and the second pipe temperature collected by each multi-functional sensor cable are acquired; a first temperature difference between the first pipe temperature and the second pipe temperature is determined; a second temperature difference between the first steam temperature and the second steam temperature is determined; and steam pipe anomaly monitoring is performed based on the first temperature difference and the second temperature difference.

[0051] If the deviation between the first temperature difference and the second temperature difference is greater than the preset error allowable range, then abnormal monitoring will be performed on the front-end temperature sensor, the flow meter temperature sensor, and the multi-functional sensor cable.

[0052] Understandably, when the steam flow rate in the first pipeline is detected... Second pipeline steam flow If the difference exceeds the normal error range, and the electromagnetic intensity and noise collected by the environmental parameter monitoring sensor 12 exceed the allowable value, or the multi-functional sensor cable detects that the pipeline vibration value exceeds the allowable value, then the metering data will be automatically corrected. Numerical substitution The measurements are taken until the environmental interference signal is eliminated, and the situation is then reported to the operations management personnel. It should be noted that... It is derived through rigorous thermodynamic formulas, and its value is not affected by external signals.

[0053] In one specific embodiment, the steam flow difference between the first pipeline steam flow and the second pipeline steam flow is determined; the electromagnetic intensity and noise of the pipeline area are acquired by the environmental parameter monitoring sensor, and the pipeline vibration value is acquired by the multi-functional sensor cable; if the steam flow difference is within a preset steam flow difference range, and the electromagnetic intensity of the pipeline area exceeds a preset intensity threshold, or the noise of the pipeline area exceeds a preset noise threshold, or the vibration value of the pipeline exceeds a preset vibration threshold, then the second pipeline steam flow is used to correct the first pipeline steam flow.

[0054] The steam flow rate difference range and vibration threshold can both be preset by relevant technical personnel.

[0055] In an optional embodiment, if the pressure measured by the current pressure sensor 13 is lower than the pressure measured by the flow meter pressure sensor 111, then it is determined that at least one of the sensors has a measurement problem. Alternatively, if the pressure difference between the current pressure sensor 13 and the flow meter pressure sensor 111 is greater than the flow meter measurement result... Or calculate the steam flow rate in the pipeline by reverse calculation. If the allowable voltage drop threshold is found below a certain value, then at least one of the aforementioned sensors is determined to have a measurement problem. In a preferred embodiment, the voltage drop threshold is taken as 1.05 times the theoretically calculated voltage drop. In this case, the faulty sensor should be checked and replaced.

[0056] In one optional embodiment, an inner insulation layer 17 and an outer insulation layer 18 are sequentially stacked on the outer surface of the steam pipe; both the inner insulation layer 17 and the outer insulation layer 18 are composed of high compressive strength insulation materials, and the insulation materials corresponding to the inner insulation layer 17 and the outer insulation layer 18 are different. Figure 6 The diagram shows a cross-sectional view of a steam pipe; the two multi-functional sensor cables are labeled 16-1 and 16-2.

[0057] Specifically, the steam pipeline includes a steel pipe and internal and external insulation layers. The inner insulation layer 17 and the outer insulation layer 18 are typically composed of two insulation materials with high compressive strength. Preferably, the inner insulation layer 17 is calcium silicate, and the outer insulation layer 18 is polyurethane. Another preferred option is that the inner insulation layer is nano-aerogel, and the outer insulation layer is polyurethane. High compressive strength insulation materials ensure that the insulation material will not collapse or deform due to its own weight, pipeline vibration, moisture, or other factors over a long period of time, thus preventing uneven heat dissipation along the circumference of the pipeline. For example, conventional fiber materials, such as centrifugal glass wool, rock wool, and aluminum silicate, tend to become thinner at the top and thicker at the bottom after long-term operation, resulting in a situation where the heat dissipation at the top is higher than that at the bottom.

[0058] In another implementation case, when a sensor is diagnosed as potentially faulty or its data is deemed unreliable, the system does not simply stop operating. Instead, it can activate a data self-repair mechanism. For example, if a flow meter temperature sensor is diagnosed as faulty, the system can automatically switch to using the readings from the upstream temperature sensor while awaiting repair, supplemented by a pipeline heat dissipation model for correction. This replaces the data from the point of failure, thus maintaining basic system operation in degraded mode, ensuring measurement accuracy and monitoring continuity, and achieving data reliability assessment and autonomous repair.

[0059] In another implementation case, under stable steam flow conditions, readings from adjacent sensors of the same type should exhibit strong correlation. For example, the steam temperatures measured by the upstream temperature sensor and the flow meter temperature sensor should be close, with the difference being the temperature drop. This difference should conform to a predictable temperature drop pattern caused by heat dissipation from the pipeline. If the processing module detects a sudden and significant deviation from historical patterns in the difference, or an anomaly that cannot be explained by a physical model (such as the upstream temperature being lower than the downstream temperature), it can immediately trigger a temperature sensor reading anomaly alarm. Furthermore, by comparing the readings with other reference values, such as temperature or temperature drop measured via a multi-functional sensor cable, it can determine which sensor is more likely to be inaccurate, thus achieving cross-validation of sensors of the same type.

[0060] Based on the above technical solution, an independent verification channel based on pipeline heat dissipation measurement is innovatively introduced. The verification flow rate is calculated using surface temperature, environmental parameters, and multi-functional cables. By using the measured values ​​of the flow meter Comparison with the verification value calculated based on the law of conservation of energy Real-time comparison can detect slow drift or sudden inaccuracy of flow meters online and in real time, enabling continuous monitoring and reliability judgment of the main metering system's working status, and avoiding long-term metering deviations, economic losses and safety operation risks caused by instrument latent failures.

[0061] By deploying redundant sensors, such as pressure and temperature sensors pre-installed with the flow meter, and establishing physical and logical relationships between parameters, the system can effectively distinguish fault sources. When a metering anomaly occurs, the system can automatically determine whether it is a fault in the flow meter itself, a malfunction in the pressure or temperature sensors, or an external problem such as a strong magnetic field, noise, pipeline vibration, or liquid accumulation, greatly shortening troubleshooting time and improving maintenance efficiency.

[0062] By integrating environmental parameters such as wind speed, noise, electromagnetic field strength, and pipeline vibration monitoring, the system can identify adverse conditions such as low load, over-range measurement, strong vibration, and electromagnetic interference in real time. When it is determined that the main flowmeter measurement may be inaccurate due to operating condition interference, the system can automatically switch to a more reliable calibration flowmeter. It performs temporary measurements and issues alarms, thus ensuring relative accuracy and continuity of measurement even under harsh operating conditions. It possesses self-diagnostic capabilities for sensor faults and self-repair capabilities for data. When the system detects anomalies in sensor data through cross-validation, it can mark the sensor as unreliable and utilize redundant sensors or physical models to provide alternative data. In degraded mode, it maintains basic system operation, ensuring uninterrupted monitoring and data chain integrity, greatly improving the overall system reliability.

[0063] The technical solution of this invention acquires the first pipeline steam flow rate collected by the steam flow meter in the steam metering module; the ambient temperature of the pipeline area collected by the environmental parameter monitoring sensor, and the pipeline surface temperature collected by the surface temperature sensing module; the first steam pressure collected by the pre-pressure sensor and the first steam temperature collected by the pre-temperature sensor; and the second steam pressure collected by the flow meter pressure sensor and the second steam temperature collected by the flow meter temperature sensor in the steam metering module. Based on the first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature, anomaly monitoring of the steam pipeline is performed. This achieves intelligent and automated anomaly monitoring of the steam pipeline, improving the reliability, comprehensiveness, and accuracy of anomaly monitoring.

[0064] Figure 7 This is a schematic diagram of a steam pipeline anomaly monitoring device provided in an embodiment of the present invention. The steam pipeline anomaly monitoring device provided in this embodiment of the present invention is applicable to situations involving anomaly monitoring or fault diagnosis of steam pipelines. This steam pipeline anomaly monitoring device can be implemented in hardware and / or software, such as... Figure 7 As shown, the device includes: a first steam flow acquisition unit 701, an ambient temperature acquisition unit 702, a first pressure and temperature determination unit 703, a second pressure and temperature determination unit 704, and a steam pipeline anomaly monitoring unit 705. Among them, The first steam flow acquisition unit 701 is used to acquire the first pipeline steam flow rate collected by the steam flow meter in the steam metering module; and... The ambient temperature acquisition unit 702 is used to acquire the ambient temperature of the pipeline area collected by the environmental parameter monitoring sensor, and to acquire the surface temperature of the pipeline from the surface temperature sensing module; and, The first pressure and temperature determination unit 703 is used to acquire the first steam pressure collected by the pre-pressure sensor and the first steam temperature collected by the pre-temperature sensor; and... The second pressure and temperature determination unit 704 is used to acquire the second steam pressure collected by the flow meter pressure sensor in the steam metering module and the second steam temperature collected by the flow meter temperature sensor in the steam metering module. The steam pipeline anomaly monitoring unit 705 is used to monitor the steam pipeline anomaly based on the first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature.

[0065] The technical solution of this invention acquires the first pipeline steam flow rate collected by the steam flow meter in the steam metering module; the ambient temperature of the pipeline area collected by the environmental parameter monitoring sensor, and the pipeline surface temperature collected by the surface temperature sensing module; the first steam pressure collected by the pre-pressure sensor and the first steam temperature collected by the pre-temperature sensor; and the second steam pressure collected by the flow meter pressure sensor and the second steam temperature collected by the flow meter temperature sensor in the steam metering module. Based on the first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature, the steam pipeline is monitored for anomalies. This achieves intelligent and automated anomaly monitoring of the steam pipeline, improving the reliability, comprehensiveness, and accuracy of anomaly monitoring.

[0066] Optionally, the steam pipeline anomaly monitoring unit 705 includes: The heat dissipation determination subunit is used to determine the heat dissipation per unit length of the pipe based on the surface temperature of the pipe and the ambient temperature of the pipe area. The pipe length determination subunit is used to determine the pipe length of the steam pipe; The enthalpy determination subunit is used to determine a first enthalpy value based on the first steam pressure and the first steam temperature, and to determine a second enthalpy value based on the second steam pressure and the second steam temperature; The steam flow rate determination subunit is used to determine the steam flow rate of the second pipe based on the first enthalpy value, the second enthalpy value, the pipe length, and the heat dissipation per unit length of the pipe. The anomaly monitoring subunit is used to monitor the steam pipeline for anomalies based on the steam flow rate of the first pipeline and the steam flow rate of the second pipeline.

[0067] Optionally, the surface temperature sensing module includes at least one surface temperature sensor; each of the surface temperature sensors is evenly arranged around the steam pipe; the number of the surface temperature sensing modules is at least one; each of the surface temperature sensing modules is arranged sequentially and evenly along the steam transmission direction of the steam pipe; correspondingly, the pipe surface temperature is the average surface temperature value collected by each of the surface temperature sensors.

[0068] Optional, an anomaly monitoring subunit, specifically used for: Determine the steam flow difference between the steam flow rate of the first pipeline and the steam flow rate of the second pipeline; If the steam flow difference is within a preset flow difference error range, then the steam flow of the first pipeline is determined to be abnormal, and the steam metering module is determined to be abnormal.

[0069] Optionally, the system further includes two multi-functional sensor cables; each of the multi-functional sensor cables is disposed opposite to the outside of the steam pipe; correspondingly, the device further includes: The cable heat dissipation determination unit is used to obtain the first unit length heat dissipation and the second unit length heat dissipation collected by each of the multifunctional sensor cables respectively. The first heat dissipation comparison unit is used to determine the first heat dissipation comparison result based on the heat dissipation per unit length of the first unit length and the heat dissipation per unit length of the pipe. The second heat dissipation comparison unit is used to determine the second heat dissipation comparison result based on the second heat dissipation per unit length and the heat dissipation per unit length of the pipe. The first anomaly monitoring unit is used to monitor steam pipeline anomalies based on the first heat dissipation comparison result and the second heat dissipation comparison result.

[0070] Optionally, the device further includes: The pipe temperature acquisition unit is used to acquire the first pipe temperature and the second pipe temperature collected by each of the multifunctional sensor cables. The first temperature difference determination unit is used to determine the first temperature difference between the temperature of the first pipe and the temperature of the second pipe; The second temperature difference determination unit is used to determine the second temperature difference between the first steam temperature and the second steam temperature; The second anomaly monitoring unit is used to monitor steam pipeline anomalies based on the first temperature difference and the second temperature difference.

[0071] Optionally, the device further includes: A steam flow rate difference determination unit is used to determine the steam flow rate difference between the steam flow rate of the first pipeline and the steam flow rate of the second pipeline; The pipeline vibration value acquisition unit is used to acquire the electromagnetic intensity and pipeline noise of the pipeline area collected by the environmental parameter monitoring sensor, and to acquire the pipeline vibration value detected by each of the multifunctional sensor cables. The flow correction unit is used to correct the first pipeline steam flow rate by using the second pipeline steam flow rate if the steam flow rate difference is within a preset steam flow rate difference range, and the electromagnetic intensity of the pipeline area exceeds a preset intensity threshold, or the noise of the pipeline area exceeds a preset noise threshold, or the vibration value of the pipeline exceeds a preset vibration threshold.

[0072] Optionally, the outer surface of the steam pipe is sequentially stacked with an inner insulation layer and an outer insulation layer; both the inner insulation layer and the outer insulation layer are composed of high compressive strength insulation materials, and the insulation materials corresponding to the inner insulation layer and the outer insulation layer are different.

[0073] The steam pipeline anomaly monitoring device provided in this embodiment of the invention can execute the steam pipeline anomaly monitoring method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0074] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0075] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for monitoring abnormalities in steam pipelines, characterized in that, An application is made in a steam pipeline anomaly monitoring system. The system includes a processing module, a steam metering module, environmental parameter monitoring sensors, a pre-pressure sensor, a pre-temperature sensor, and a surface temperature sensing module. The pre-pressure sensor and the pre-temperature sensor are sequentially distributed along the steam transmission direction on the outer surface of the steam pipeline. The steam metering module is located downstream of the pre-temperature sensor along the steam transmission direction. The surface temperature sensing module is located on the outside of the steam pipeline. The environmental parameter monitoring sensors are located within a preset distance range outside the steam pipeline. The steam metering module includes a steam flow meter, a flow meter pressure sensor, and a flow meter temperature sensor arranged sequentially along the steam transmission direction. The processing module is electrically connected to the steam metering module, the environmental parameter monitoring sensors, the pre-pressure sensor, the pre-temperature sensor, and the surface temperature sensing module. The method is executed by the processing module and includes: Obtain the first pipeline steam flow rate collected by the steam flow meter in the steam metering module; and, The system acquires the ambient temperature of the pipeline area collected by the environmental parameter monitoring sensor, and the surface temperature of the pipeline collected by the surface temperature sensing module; and, Acquire the first steam pressure obtained by the pre-pressure sensor and the first steam temperature obtained by the pre-temperature sensor; and, The second steam pressure and the second steam temperature are obtained from the flow meter pressure sensor and the flow meter temperature sensor in the steam metering module, respectively. Anomalies in the steam pipeline are monitored based on the steam flow rate of the first pipeline, the ambient temperature of the pipeline area, the surface temperature of the pipeline, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature.

2. The method according to claim 1, characterized in that, The method of monitoring steam pipeline anomalies based on the first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature includes: The heat dissipation per unit length of the pipe is determined based on the surface temperature of the pipe and the ambient temperature of the pipe area. Determine the length of the steam pipe; A first enthalpy value is determined based on the first steam pressure and the first steam temperature, and a second enthalpy value is determined based on the second steam pressure and the second steam temperature; The steam flow rate of the second pipe is determined based on the first enthalpy value, the second enthalpy value, the pipe length, and the heat dissipation per unit length of the pipe; Based on the steam flow rates of the first and second pipelines, abnormalities in the steam pipelines are monitored.

3. The method according to claim 2, characterized in that, The surface temperature sensing module includes at least one surface temperature sensor; the surface temperature sensors are evenly arranged around the steam pipe; the number of surface temperature sensing modules is at least one; the surface temperature sensing modules are evenly arranged sequentially along the steam transmission direction of the steam pipe; correspondingly, the pipe surface temperature is the average surface temperature value collected by each surface temperature sensor.

4. The method according to claim 2, characterized in that, The step of monitoring steam pipeline anomalies based on the steam flow rates of the first and second pipelines includes: Determine the steam flow difference between the steam flow rate of the first pipeline and the steam flow rate of the second pipeline; If the steam flow difference is within a preset flow difference error range, then the steam flow of the first pipeline is determined to be abnormal, and the steam metering module is determined to be abnormal.

5. The method according to claim 2, characterized in that, The system also includes two multi-functional sensor cables; Each of the aforementioned multi-functional sensor cables is disposed opposite to the outside of the steam pipe; correspondingly, the method further includes: The heat dissipation per unit length and the heat dissipation per unit length are respectively collected by each of the multifunctional sensor cables. The first heat dissipation comparison result is determined based on the heat dissipation per unit length of the first heat dissipation and the heat dissipation per unit length of the pipe. The second heat dissipation comparison result is determined based on the second heat dissipation per unit length and the heat dissipation per unit length of the pipe. Steam pipeline anomaly monitoring is performed based on the first heat dissipation comparison result and the second heat dissipation comparison result.

6. The method according to claim 5, characterized in that, The method further includes: The temperatures of the first and second pipes, respectively, are obtained from the multi-functional sensor cables. Determine a first temperature difference between the temperature of the first pipe and the temperature of the second pipe; Determine a second temperature difference between the first steam temperature and the second steam temperature; Steam pipeline anomaly monitoring is performed based on the first temperature difference and the second temperature difference.

7. The method according to claim 5, characterized in that, The method further includes: Determine the steam flow difference between the steam flow rate of the first pipeline and the steam flow rate of the second pipeline; The electromagnetic intensity and noise of the pipeline area are collected by the environmental parameter monitoring sensors, and the vibration values ​​of the pipeline are detected by each of the multifunctional sensor cables. If the steam flow difference is within a preset steam flow difference range, and the electromagnetic intensity of the pipeline area exceeds a preset intensity threshold, or the noise of the pipeline area exceeds a preset noise threshold, or the vibration value of the pipeline exceeds a preset vibration threshold, then the second pipeline steam flow is used to correct the first pipeline steam flow.

8. The method according to claim 1, characterized in that, The outer surface of the steam pipe is layered with an inner insulation layer and an outer insulation layer in sequence; both the inner insulation layer and the outer insulation layer are composed of high compressive strength insulation materials, and the insulation materials corresponding to the inner insulation layer and the outer insulation layer are different.

9. A steam pipeline anomaly monitoring device, characterized in that, An application is made in a steam pipeline anomaly monitoring system. The system includes a processing module, a steam metering module, environmental parameter monitoring sensors, a pre-pressure sensor, a pre-temperature sensor, and a surface temperature sensing module. The pre-pressure sensor and the pre-temperature sensor are sequentially distributed along the steam transmission direction on the outer surface of the steam pipeline. The steam metering module is located downstream of the pre-temperature sensor along the steam transmission direction. The surface temperature sensing module is located on the outside of the steam pipeline. The environmental parameter monitoring sensors are located within a preset distance range outside the steam pipeline. The steam metering module includes a steam flow meter, a flow meter pressure sensor, and a flow meter temperature sensor arranged sequentially along the steam transmission direction. The processing module is electrically connected to the steam metering module, the environmental parameter monitoring sensors, the pre-pressure sensor, the pre-temperature sensor, and the surface temperature sensing module. The device is configured within the processing module and includes: The first steam flow acquisition unit is used to acquire the first pipeline steam flow rate collected by the steam flow meter in the steam metering module; and... An ambient temperature acquisition unit is used to acquire the ambient temperature of the pipeline area collected by the environmental parameter monitoring sensor, and to acquire the surface temperature of the pipeline from the surface temperature sensing module; and, The first pressure and temperature determination unit is used to acquire the first steam pressure collected by the pre-pressure sensor and the first steam temperature collected by the pre-temperature sensor; and... The second pressure and temperature determination unit is used to acquire the second steam pressure collected by the flow meter pressure sensor in the steam metering module and the second steam temperature collected by the flow meter temperature sensor in the steam metering module. The steam pipeline anomaly monitoring unit is used to monitor the steam pipeline for anomalies based on the first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature.

10. A steam pipeline anomaly monitoring system, characterized in that, The system includes a processing module, a steam metering module, an environmental parameter monitoring sensor, a pre-pressure sensor, a pre-temperature sensor, and a surface temperature sensing module. The pre-pressure sensor and the pre-temperature sensor are sequentially distributed along the steam transmission direction on the outer surface of the steam pipe. The steam metering module is located downstream of the pre-temperature sensor along the steam transmission direction. The surface temperature sensing module is located on the outside of the steam pipe. The environmental parameter monitoring sensor is located within a preset distance range outside the steam pipe. The steam metering module includes a steam flow meter, a flow meter pressure sensor, and a flow meter temperature sensor arranged sequentially along the steam transmission direction. The processing module is electrically connected to the steam metering module, the environmental parameter monitoring sensor, the pre-pressure sensor, the pre-temperature sensor, and the surface temperature sensing module, and specifically includes: The steam flow meter in the steam metering module is used to collect the flow rate of the steam pipeline to obtain the first pipeline steam flow rate, and transmit the first pipeline steam flow rate to the processing module; The environmental parameter monitoring sensor is used to collect the temperature of the pipeline area of ​​the steam pipeline, obtain the ambient temperature of the pipeline area, and transmit the temperature of the pipeline area to the processing module. The surface temperature sensing module is used to collect the surface temperature of the steam pipe, obtain the surface temperature of the pipe, and transmit the surface temperature of the pipe to the processing module. The pre-pressure sensor is used to collect the pipeline pressure of the steam pipeline, obtain the first steam pressure, and transmit the first steam pressure to the processing module; The front-end temperature sensor is used to collect the pipe temperature of the steam pipe, obtain the first steam temperature, and transmit the first steam temperature to the processing module. The flow meter pressure sensor in the steam metering module is used to collect the pipeline pressure of the steam pipeline, obtain the second steam pressure, and transmit the second steam pressure to the processing module. The flow meter temperature sensor in the steam metering module is used to collect the pipe temperature of the steam pipe, obtain the second steam temperature, and transmit the second steam temperature to the processing module. The processing module is used to monitor the steam pipeline for anomalies based on the acquired first pipeline steam flow rate, the ambient temperature of the pipeline area, the pipeline surface temperature, the first steam pressure, the first steam temperature, the second steam pressure, and the second steam temperature.

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